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242 wyniki Filtruj
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Architectural detailing : function, constructibility, aesthetics / Edward Allen and Patrick Rand. - Third edition. - Hoboken, New Jersey : Wiley, copyright 2016. - XIII, 363 strony ; 28 cm.
Indeks.
Controlling water air water vapor sound Accommodating movement Providing passages for mechanical and elektrical services Health and safety Providing for the aging of the biulding Ease of assembly Forgiving details Efficient use of constructions resources aesthetics Detailing a building in wood light framing in architectural concrete a brick facing on a concrete frame.
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Bibliografia strony 381-388. Indeks.
Plain Talk What You Don’t Know Gan Ki!! (Your e-Learning) Making Success Possible Executive’s Guide to Good e-Learning Where Does e-Learning Fit? Great e-Learning Design Seven Simple Success Strategies The Serious e-Learning Manifesto Motivation in Learning Seven Magie Keys to Motivational e-Learning Build on Anticipated Outcomes Put the Learner at Risk Select the Right Content for Each Learner Use an Appealing Context Have the Learner Perform Multistep Tasks Provide Intrinsic Feedback Delay Judgment Navigation CCAF and lnteractive Instruction lnteractivity Paradigms That Work Successive Approximation and SAM Serious Learning Games Integrating Instructional Content and Games Learning Games, Serious or Not?
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Discover signal processing : an interactive guide for engineers / Simon Braun. - Chichester, England ; Hoboken, NJ : Wiley, cop. 2008. - XVIII, 347 s. : il. ; 25 cm. + dysk optyczny (CD-ROM).
Bibliogr. s. [341]-343. Indeks.
Sygnatura czytelni BMW: XIII 134 (nowy)
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Surveying / Charles Blaney Breed. - 2d ed. - London : Wiley, 1957. - 495 stron : ilustracje ; 19 cm
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Vol. 2: Le Corbusier's legacy : principles of twentieth century architectural theory arranged by category.
Bibliografia strony 239-243. Indeks.
Categories in architecture Vitruvian category Categories in philosophy and literature Greek categories Mediaeval categories
Sygnatura czytelni BWB: BZ 114
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Vol. 1: The Vitruvian fallacy : a history of the categories in architecture and philosophy.
Bibliografia strony [397]-399. Indeks.
Primary and secondary categories, form and formalism, function and functionalism, meaning and historicism, construction and constructivism, context and contextualism, the will and modernism, general and composite theories, principle of architecture
Sygnatura czytelni BWB: BZ 120
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Stress corrosion cracking of pipelines / Y. Frank Cheng. - Hoboken, NJ : Wiley, cop. 2013. - XXIV, 257 s. : il. ; 24 cm.
(Wiley Series in Corrosion)
Bibliogr. przy rozdz. Indeks.
Sygnatura czytelni BMW: XIII 107 (nowy)
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Bibliografia strony 429-457. Indeks.
e-learning promise and pitfalls How people learn from e-courses Evidence-based practice Applying the multimedia principle use words and graphics rather than words alone Applying the contiguilty principle align words to corresponding graphics Applying the signaling principle use verbal and visual cues to direct attention Applying the modality principle present words as audio narration rather than on-screen text When to add text to audio narration applying the redundancy principle Applying the coherence principle adding extra material can hurt learning Engagement in e-learning activities for promoting generative learning Leveraging examples in e-learning Does practice make perfect Organizing instruction applying the segmenting and pretraining principles who's in control guidelines for e-learning navigation Applying the personalization principle use conversational style polite wording friendly voice on screen agents and social presence in e-learning online collaborative learning e-learning to build thinking skills Designing effective instructional video Learning with computer games Immersive virtual reality for instruction Applying the multimedia guidelines
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Bibliografia przy rozdziale. Indeks.
Motivational Illustrations Previous Work Diagnosis Techniques Monitoring Techniques Book Outline Problem Overview and Illustrative Example Overview of Proposed Work Prerequisite Fundamentals Bayesian Inference and Parameter Estimation Tutorial on Bayesian Inference Tutorial on Bayesian Inference with Time Dependency Bayesian Inference vs. Direct Inference Tutorial on Bayesian Parameter Estimation The EM Algorithm Techniques for Ambiguous Modes Tutorial on Θ Parameters in the Presence of Ambiguous Modes Tutorial on Probabilities Using Θ Parameters Dempster-Shafer Theory Kernel Density Estimation From Histograms to Kernel Density Estimates Bandwidth Selection Kernel Density Estimation Tutorial Bootstrapping Bootstrapping Tutorial Smoothed Bootstrapping Tutorial Bayesian Diagnosis Bayesian Approach for Control Loop Diagnosis Mode M Evidence E Historical Dataset D Likelihood Estimation Accounting for Autodependent Modes and Evidence Temporally Dependent Evidence Evidence Dependence Estimation of Evidence-transition Probability Issues in Estimating Dependence in Evidence Temporally Dependent Modes Mode Dependence Estimating Mode Transition Probabilities Dependent Modes and Evidence Accounting for Incomplete Discrete Evidence The Incomplete Evidence Problem Diagnosis with Incomplete Evidence Single Missing Pattern Problem Multiple Missing Pattern Problem Limitations of the Single and Multiple Missing Pattern Solutions Accounting for Ambiguous Modes: A Bayesian Approach Parametrization of Likelihood Given Ambiguous Modes Interpretation of Proportion Parameters Parametrizing Likelihoods Informed Estimates of Likelihoods Fagin-Halpern Combination Second-order Approximation Consistency of Θ Parameters Obtaining a Second-order Approximation The Second-order Bayesian Combination Rule Brief Comparison of Combination Methods Applying the Second-order Rule Dynamically Unambiguous Dynamic Solution The Second-order Dynamic Solution Making a Diagnosis Simple Diagnosis Ranged Diagnosis Expected Value Diagnosis Accounting for Ambiguous Modes: A Dempster-Shafer Approach Dempster-Shafer Theory Basic Belief Assignments Probability Boundaries Dempster’s Rule of Combination Short-cut Combination for Unambiguous Priors Generalizing Dempster-Shafer Theory Motivation: Difficulties with BBAs Generalizing the BBA Generalizing Dempster’s Rule Short-cut Combination for Unambiguous Priors Making Use of Continuous Evidence Through Kernel Density Estimation Performance: Continuous vs. Discrete Methods Average False Negative Diagnosis Criterion Performance of Discrete and Continuous Methods Kernel Density Estimation From Histograms to Kernel Density Estimates Defining a Kernel Density Estimate Bandwidth Selection Criterion Bandwidth Selection Techniques Dimension Reduction Independence Assumptions Principal and Independent Component Analysis Missing Values Kernel Density Regression Applying Kernel Density Regression for a Solution 141Dynamic Evidence Accounting for Sparse Data Within a Mode Analytical Estimation of the Monitor Output Distribution Function Control Performance Monitor Process Model Monitor Sensor Bias Monitor Bootstrap Approach to Estimating Monitor Output Distribution Function Valve Stiction Identification The Bootstrap Method Illustrative Example Applications Experimental Example 164Process Description Diagnostic Settings and Results Accounting for Sparse Modes Within the Data Approaches and Algorithms Approach for Component Diagnosis Approach for Bootstrapping New Modes Component-based Diagnosis Bootstrapping for Additional Modes Monitor Selection Component Diagnosis Introduction to Testbed Systems Simulated System Monitor Design 203Bench-scale System Industrial Scale System Bayesian Diagnosis with Discrete Data Algorithm Tutorial Simulated Case Bench-scale Case Industrial-scale Case Accounting for Autodependent Modes and Evidence Algorithms Evidence Transition Probability Mode Transition Probability Tutorial Accounting for Incomplete Discrete Evidence Single Missing Pattern Problem Multiple Missing Pattern Problem Tutorial Simulated Case Bench-scale Case Industrial-scale Case Accounting for Ambiguous Modes in Historical Data: A Bayesian Approach Algorithm Formulating the Problem Second-order Taylor Series Approximation of p(E|M,Θ) Second-order Bayesian Combination Optional Step: Separating Monitors into Independent Groups Grouping Methodology Illustrative Example of Proposed Methodology Offline Step 1: Historical Data Collection Mutual Information Criterion (Optional) Calculate Reference Values Calculate Support Calculate Second-order Terms Perform Combinations Make a Diagnosis Simulated Case Bench-scale Case Industrial-scale Case Accounting for Ambiguous Modes in Historical Data: A Dempster-Shafer Approach Parametrized Likelihoods Basic Belief Assignments The Generalized Dempster’s Rule of Combination Historical Data Collection Mutual Information Criterion (Optional) Calculate Reference Value Calculate Support Calculate the GBBA Combine BBAs and Diagnose Simulated Case Bench-scale Case Industrial System Making use of Continuous Evidence through Kernel Density Estimation Kernel Density Estimation Bandwidth Selection Adaptive Bandwidths Optional Step: Dimension Reduction by Multiplying Independent Likelihoods Creating Independence via Independent Component Analysis Replacing Missing Values Example of Proposed Methodology Historical Data Collection Mutual Information Criterion (Optional) Independent Component Analysis (Optional) Obtain Bandwidths Calculate Likelihood of New Data Calculate Posterior Probability Make a Diagnosis Simulated Case Bench-scale Case Industrial-scale Case A Code for Kernel Density Regression Kernel Density Regression Three-dimensional Matrix Toolbox Dynamic Application of Continuous Evidence and Ambiguous Mode Solutions Algorithm for Autodependent Modes Transition Probability Matrix Review of Second-order Method Second-order Probability Transition Rule Algorithm for Dynamic Continuous Evidence and Autodependent Modes Algorithm for Dynamic Continuous Evidence Combining both Solutions Comments on Usefulness Example of Proposed Methodology Offline Step 1: Historical Data Collection Create Temporal Data Mutual Information Criterion (Optional, but Recommended) Calculate Reference Values Obtain Prior Second-order Terms Calculate Support Calculate Second-order Terms Combining Prior and Likelihood Terms Simulated Case Bench-scale Case Industrial-scale Case.
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Fundamentals of physics / David Halliday, Robert Resnick, Jearl Walker. - Tenth edition. - Hoboken, N.J. : Wiley, 2014. - XXII, [2], 1152, 15, 11, 23 strony : ilustracje (głównie kolorowe) ; 29 cm.
Indeks.
Measurement -- Motion along a straight line -- Vectors -- Motion in two and three dimensions -- Force and motion -- I -- Force and motion -- II -- Kinetic energy and work -- Potential energy and conservation of energy -- Center of mass and linear momentum -- Rotation -- Rolling, torque, and angular momentum -- Equilibrium and elasticity -- Gravitation -- Fluids -- Oscillations -- Waves -- I -- Waves -- II -- Temperature, heat, and the first law of thermodynamics -- The kinetic theory of gases -- Entropy and the second law of thermodynamics -- Coulomb's law -- Electric fields -- Gauss' law -- Electric potential -- Capacitance -- Current and resistance -- Circuits -- Magnetic fields -- magnetic fields due to currents -- Induction and inductance -- Electromagnetic oscillations and alternating current -- Maxwell's equations; Magnetism of matter -- Electromagnetic waves -- Images -- Interference -- Diffraction -- Relativity -- Photons and matter waves -- More about matter waves -- All about atoms -- Conduction of electricity in solids -- Nuclear physics -- Energy from the mucleus -- Quarks, leptons, and the Big Bang.
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Essentials of supply chain management / Michael Hugos. - Fourth Edition. - Hoboken : Wiley, copyright 2018 - XII, 355 stron : ilustracje ; 23 cm.
(Essentials Series)
Na okładce: Understand supply chain and how they work, see how new technology changes supply chain operations, create supply chain for competitive advantage.
Indeks.
Key Concepts of Supply Chain Management Supply Chain Operations: Planning and Sourcing Supply Chain Operations: Making and Deliverlng New Technology Changes How Work Is Done Metrics for Measuring Supply Chain Performance Supply Chain Coordination Supply Chain Innovation fbr the Real-Time Economy Defining Supply Chain Opportunitles Creating Supply Chains for Competitive Advantage Promise of the Real-Time Supply Chain
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Modeling the effect of damage in composite structures : simplified approaches / Christos Kassapoglou. - Chichester : Wiley, 2015. - XII, 230 stron, [8] stron tablic : ilustracje ; 25 cm.
(Aerospace Series List)
Bibliografia przy rozdziałach. Indeks.
Damage in Composite Structures: Notch Sensitivity Notch Insensitivity Complete’ Notch Sensitivity Notch Sensitivity of Composite Materials Holes Stresses around Holes Using the Anisotropic Elasticity Solution to Predict Failure The Role of the Damage Zone Created Near a Hole Simplified Approaches to Predict Failure in Laminates with Holes: the Whitney-Nuismer Criteria Other Approaches to Predict Failure of a Laminate with a Hole Improved Whitney-Nuismer Approach Application: Finding the Stacking Sequence Which Results in Good OHT Performance Cracks Modelling a Crack in a Composite Laminate Finite-Width Effects Other Approaches for Analysis of Cracks in Composites Matrix Cracks Delaminations Relation to Inspection Methods and Criteria Modelling Different Structural Details in the Presence of Delaminations Buckling of a Through-Width Delaminating Layer Buckling of an Elliptical Delaminating Layer Application - Buckling of an Elliptical Delamination under Combined Loads Onset of Delamination at a Straight Free Edge of a Composite Laminate Delamination at a Flange-Stiffener Interface of a Composite Stiffened Panel Double Cantilever Beam and End Notch Flexure Specimen The Crack Closure Method Strength of Materials Versus Fracture Mechanics - Use of Cohesive Elements Use of Cohesive Elements Impact Sources of Impact and General Implications for Design Damage Resistance Versus Damage Tolerance Modelling Impact Damage as a Hole Modelling Impact Damage as a Delamination Impact Damage Modelled as a Region of Reduced Stiffness Application: Comparison of the Predictions of the Simpler Models with Test Results Modelling BVID as a Hole a Single Delamination as an Elliptical Inclusion of Reduced Stiffness Comparisons of Analytical Predictions to Test Results - Sandwich Laminates Improved Model for Impact Damage Analysed as a Region of Reduced Stiffness Type and Extent of Damage for Given Impact Energy Model for Predicting CAI Strength Fatigue Life of Composite Structures: Analytical Models Needed Characteristics for an Analytical Model Models for the Degradation of the Residual Strength Linear Model Nonlinear Model Model for the Cycles to Failure Extension to Spectrum Loading Residual Strength and Wear-Out Model Predictions Compared to Test Results Residual Strength Predictions Compared to Test Results Cycles to Failure Predictions Compared to Test Results (Constant Amplitude) Cycles to Failure Predictions Compared to Test Results (Spectrum Loading) A Proposal for the Complete Model: Accounting for Larger Scale Damage First Cycle, Tension Portion First Cycle, Compression Portion Subsequent Load Cycles Discussion Tension-Compression Fatigue of Unidirectional Composites Tension-Tension Fatigue of Cross-Ply Laminates.
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Privately owned public space : the New York City experience / Jerold S. Kayden. - New York : Wiley, 2000. - X, 347 stron : fotografie, plany ; 26 cm.
Bibliografia strony 318-[321]. Indeks.
Lower Manhattan Downtown Greenwich Village Midtown Manhattan Clinton Central Midtown East Midtown East Midtown Upper Manhattan Upper West Side Upper East Side Brooklyn and Queens
Sygnatura czytelni BWB: BZ 129
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Robust control : theory and applications / Kang-Zhi Liu, Yu Yao. - Singapore : Wiley, 2016. - XXII, 460 stron : ilustracje ; 25 cm.
Bibliografia strony [450]-454. Indeks.
Engineering Background of Robust Control Methodologies of Robust Control Small-Gain ApproachPositive Real Method Lyapunov Method Robust Regional PolePlacement Gain Scheduling A Brief History of Robust Control Basics of Linear Algebra and Function Analysis Trace, Determinant, Matrix Inverse, and Block Matrix Elementary Linear Transformation of Matrix and Its Matrix Description Linear Vector Space Linear Independence Dimension and Basis Coordinate Transformation Norm and Inner Product of Vector Vector Norm Product of Vector Linear Subspace Subspace Robust Control Matrix and Linear Mapping Image and Kernel Space Similarity Transformation of Matrixof Matrix Linear Algebraic EquationEigenvalue and Eigenvector Invariant Subspace Mapping Restricted in Invariant Subspace Invariant Subspace over Diagonalization of Hermitian/Symmetric Matrix Pseudo-Inverse and Linear Matrix Equation Quadratic Form and Positive Definite Matrix Quadratic Form and Energy Function Positive Definite and Positive Semidefinite Matrices Norm and Inner Product of Matrix Matrix Norm Inner Product of Matrices Singular Value and Singular Value Decomposition Calculus of Vector and Matrix Scala Variable Vector or Matrix Variable Kronecker Product Norm and Inner Product of Function Norm Inner Product of Signals Norm and Inner Product of Signals in Frequency Domain Computation of 2-Norm and Inner Product of Signals System Norm Inner Product of Systems Notes and References Basics of Convex Analysis and LMI Convex Set and Convex Function Affine Set, Convex Set, and Cone Hyperplane, Half-Space, Ellipsoid, and Polytope Separating Hyperplane and Dual Problem Affine Function Convex Function Introduction to LMI Control Problem and LMI Typical LMI Problems BMI to LMI:Variable Elimination From BMI to LMI:Variable Change Interior Point Method.
Analytical Center of LMI Interior Point Method Based on Central PathFundamentals of Linear System Structural Properties of Dynamic System Description of Linear System Controllability and Observability State Realization and Similarity Transformation Pole Zero Relative Degree and Infinity Zero Inverse System System Connections Stability. Bounded-Input Bounded-Output Stability Internal Stability Cancellation Stabilizability and Detectability Lyapunov Equation Controllability Gramian and Observability Gramian Balanced Realization Linear Fractional Transformation System Performance Test Signal Reference Input Persistent Disturbance Characteristic of Test Signal Steady-State Response Analysis on Closed-Loop Transfer Function Tracking Disturbance Suppression Transient Response Performance Criteria Prototype Second-Order System Impact of Additional Pole and ZeroOvershoot and Undershoot Bandwidth and Fast Response Comparison of Open-Loop and Closed-Loop Controls Reference Tracking Impact of Model Uncertainty Disturbance Suppression Robust Control Stabilization of Linear Systems State Feedback Canonical Forms Pole Placement of Single-Input Systems Pole Placement of Multiple-Input Systems*Principle of Pole Selection Observer Full-Order Observer Minimal Order Observer Combined System and Separation Principle Full-Order Observer Case Minimal Order Observer Case Parametrization of Stabilizing Controllers Generalized Feedback Control System Application Examples Stable Plant Case General Case Parametrization Structure of Closed-Loop System Affine Structure in Controller Parameter Affine Structure in Free Parameter 2-Degree-of-Freedom System.
Structure of 2-Degree-of-Freedom Systems Implementation of 2-Degree-of-Freedom Control Relation between Time Domain and Frequency Domain Properties Parseval's Theorem Fourier Transform and Inverse Fourier Transform Convolution Parseval's Theorem Proof of Parseval's Theorem KYP Lemma Application in Bounded Real Lemma Application in Positive Real Lemma Proof KYP Lemma*Algebraic Riccati Equation Algorithm for Riccati Equation Stabilizing Solution Inner Function Performance Limitation of Feedback Control Preliminaries Poisson Integral Formula All-Pass and Minimum-Phase Transfer Functions Limitation on Achievable Closed-loop Transfer Function Interpolation Condition Analysis of Sensitivity Function Integral Relation Bode Integral Relation on Sensitivity Bode Phase Formula Limitation of Reference Tracking System 2-Degree-of-Freedom System Model Uncertainty Model ncertainty: Examples Principle of Robust Control Category of Model Uncertainty Plant Set with Dynamic Uncertainty Concrete Descriptions Modeling of Uncertainty Bound Parametric System Polytopic Set of Parameter Vectors Matrix Polytope and Polytopic SystemNorm-Bounded Parametric System Separation of Parameter Uncertainties Plant Set with Phase Information of Uncertainty LPV Model and Nonlinear Systems LPV Model From Nonlinear System LPV Model Robust Stability and Robust Performance Robust Control Robustness Analysis Small-Gain Principle Small-Gain Theorem Robust Stability Criteria Equivalence between Performance and Robust Stability Analysis of Robust Performance Sufficient Condition for Robust Performance Introduction of Scaling Stability Radius of Norm-Bounded Parametric Systems Robustness Analysis Lyapunov Method Overview of Lyapunov Stability Theory Asymptotic Stability ConditionCondition for State Convergence Rate Quadratic Stability Condition for Quadratic Stability Quadratic Stability Conditions for Polytopic SystemsQuadratic Stability Condition for Norm-Bounded Parametric Systems System Circle Criterion Popov Criterion Passive Systems Robustness Analysis IQC Approach IQC IQC Theorem Applications IQC.
Proof IQC TheoremFunction Relation with Input and Output Relation between WeightingFunction and Dynamics of Disturbance/Noise Computing Methods Condition for Solution to Nonsingular Control Problem Proof of Nonsingular Solution Preliminaries Proof of Theorems Control Control an RTP System Model RTP Optimal Configuration of Lamps Location of Sensors Control Design Simulation Results Control Control Problem and Norm Output Relation of Transfer Matrix Norm Disturbance Control and Weighting Function LMI Solution Variable Elimination Proof of Theorem Computation of Controller LMI Solution Variable Change Design of Generalized Plant and Weighting Function Principle for Selection of Generalized Plant Selection of Weighting Function Scaled Synthesis Introduction to Robust Problems with Multiple Uncertainties Robust Performance Problem Its Implication Properties Bounds of Condition for Robust Performance D-K Iteration Design Convexity of the Minimization of the Largest Singular Value Procedure of D-KIteration Design Robust Control of Parametric Systems Quadratic Stabilization of Polytopic Systems State Feedback Output Feedback Robust Control Quadratic Stabilization of Norm-Bounded Parametric Systems Robust Control Design of Polytopic Systems Robust Control Design of Norm-Bounded Parametric Systems Regional Pole Placement Convex Region and Its Characterization Relationship between Performance and Pole Location LMI Region and Its Characterization Condition for Regional Pole Placement Composite LMI Region Feedback Controller Design Design Method Design Example: Mass-Spring-Damper SystemAnalysis of Robust Pole Placement Polytopic System Norm-Bounded Parametric System Robust Design of Regional Pole Placement On Polytopic Systems Design for Norm-Bounded Parametric System Robust Design Example: Mass-Spring-Damper System Gain-Scheduled Control General Structure LFT-Type Parametric Model Gain-Scheduled Control Design with Scaling Computation of Controller Case Study: Stabilization of a Unicycle Robot Structure and Model Control Design Experiment Results Affine LPV Model Easy-to-Design Structure of Gain-Scheduled Controller Robust Multiobjective Control of Affine Systems Case Study: Transient Stabilization of a Power System LPV Model Multiobjective Design Simulation Results Robustness Comparison with PSS Positive Real Method Structure of Uncertain Closed-Loop System Robust Stabilization Based on Strongly Positive Realness Variable Change Variable Elimination Robust Stabilization Based on Strictly Positive Realness Robust Performance Design for Systems with Positive Real Uncertainty.
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Electric circuits / E. Norman Lurch. - New York : Wiley, 1963. - XIII, 565 s. ; 24 cm.
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Applied statistics and probability for engineers / Douglas C. Montgomery, George C. Runger. - Seventh edition. - Hoboken : Wiley, 2018. - 1 tom [różna numeracja] : ilustracje ; 26 cm.
Bibliografia. Indeks.
Discrete Random Variables and Probability Distributions Probability Distributions and Probability Mass Functions Cumulative Distribution Functions Mean and Variance of a Discrete Random Variable Discrete Uniform Distribution Binomial Distribution Geometrie and Negative Binomial Distributions Retrospective Study Observational Study Designed Experiments ObservingProcessesOverTime Mechanistic and Empirical Models Probability and Probability Models SampleSpacesand Events Random Experiments SampleSpaces Events CountingTechniquesInterpretations and Axioms of Probability Unions of Events and Addition Rules Conditional Probability Intersections of Events and Multiplication and Total Probability Rules independence Bayes’ Theorem Random Variables The Engineering Method and Statistical Thinking Populationsand Sampies 5 Collecting Engineering Data The Role of Statistics in Engineering Hypergeometric Distribution Poisson Distribution Continuous Random Variables and Probability Distributions Probability Distributions and Probability Density Functions Cumulative Distribution Functions Mean and Variance of a Continuous Random Variable Continuous Uniform Distribution Normal Distribution Normal Approximation to the Binomial and Poisson Distributions Exponential Distribution Erlang and Gamma Distributions Weibull Distribution Lognormal Distribution Beta Distribution Joint Probability Distributions Joint Probability Distributions for Two Random Variables Conditional Probability Distributions and Independence Joint Probability Distributions for More Than Two Random Variables Covariance and Correlation Common Joint Distributions Multinomial Probability Distribution Bivariate Normal Distribution Linear Functions of Random General Functions of Random Variables Moment-Generating Functions Descriptive Statistics NumericalSummariesof Data Frequency Distributions and Histograms Box Plots Time Sequence Plots Scatter Diagrams Probability Plots Point Estimation of Parameters and Sampling Distributions Point Estimation Sampling Distributions and the Central Limit Theorem General Concepts of Point Estimation Unbiased Estimators Variance of a Point Estimator Standard Error: Reportinga Point Estimate Bootstrap Standard Error Mean Squared Error of an Estimator Methodsof Point Estimation Method ofMoments Method of Maximum Likelihood Bayesian Estimation of Parameters Statistical lntervals for a Single Sample Confidence lnterval on the Mean of a Normal Distribution, Variance Known Development of the Confidence lnterval and Its Basic Properties ChoiceofSampleSize One-Sided Confidence Bounds General Method to Derive a Confidence lnterval Large-Sample Confidence lnterval Confidence lnterval on the Mean of a Normal Distribution, Variance Unknown t Distribution t Confidence lnterval Confidence lnterval on the Variance and Standard Deviation of a Normal Distribution Large-Sample Confidence lnterval for a Population Proportion Guidelines for Constructing Confidence lntervals Bootstrap Confidence lnterval Tolerance and Prediction lntervals Prediction lnterval for a Futurę Observation Tolerance lnterval for a Normal Distribution 9 Tests of Hypotheses for a Single Sample HypothesisTesting Statistical Hypotheses Tests of Statistical Hypotheses One-Sided and Two-Sided Hypotheses P-Values in Hypothesis Tests Connection between Hypothesis Tests and Confidence !ntervals General Procedurę for Hypothesis Tests Tests on the Mean of a Normal Distribution, Variance Known Hypothesis Tests on the Mean Type II Errorand Choice of Sample Size Large-Sample Test Tests on the Mean of a Normal Distribution, Variance Unknown Hypothesis Tests on the Mean Type II Error and Choice of Sample Size Tests on the Variance and Standard Deviation of a Normal Distribution
Hypothesis Tests on the Variance Type II Error and Choice of Sample Size Tests on a Population Proportion Large-Sample Tests on a Proportion Type II Errorand Choice of Sample Size Summary Table of Inference Procedures for a Single Sample TestingforGoodnessof Fit Contingency Table Tests Nonparametric Procedures The Sign Test The Wilcoxon Signed-Rank Test Comparisontothet-Test EquivalenceTesting CombiningP-Values Statistical Inference for TwoSamples Inference on the Differencein MeansofTwo Normal Distributions, Variances Known Hypothesis Tests on the Difference in Means, Variances Known Type II Errorand Choice of Sample Size Confidence lnterval on the Difference in Means, Variances Known Inference on the Difference in MeansofTwo Normal Distributions, Variances Unknown Hypotheses Tests on the Difference in Means, Variances Unknown Type II Error and Choice of Sample Size Confidence lnterval on the Difference in Means, Variances Unknown 3 A Nonparametric Test for the Difference inTwo Means Description of the Wilcoxon Rank-Sum Test Large-Sample Approximation Comparisontothef-Test Inference on the Variancesof Two Normal Distributions F Distribution Hypothesis Tests on the Equity of Two Variances Type II Errorand Choice of Sample Size Confidence lntervai on the Ratio of Two Variances Inference on Two Population Proportions Large-Sample Tests on the Difference in Population Proportions Type II Error and Choice of Sample Size Confidence Inten/al on the Difference in Population Proportions SummaryTable and Road Map for Inference =rocedures for TwoSamples Simple Linear Regression and Correlation Empirical Models Simple Linear Regression roperties of the Least Squares Estimators 288 Hypothesis Tests in Simple Linear Regression Useoft-Tests Analysis of Variance Approach to Test Significance of Regression Confidence lntervals Confidence lntervals on the Slope and Intercept Confidence lnterval on the Mean Response Prediction of New Observations Adequacyof the Regression Model Residual Analysis Coefficientof Determination [R2) Correlation Regression on Transformed Variables Logistic Regression Multiple Linear Regression Multiple Linear Regression Model Least Squares Estimation of the Parameters Matrix Approach to Multiple Linear Regression Properties of the Least Squares Estimators Hypothesis Tests in Multiple Linear Regression Test for Significance of Regression Tests on lndividual Regression Coefficients and Subsets of Coefficients Confidence lntervals in Multiple Linear Regression Confidence lntervals on lndividual Regression Coefficients Confidence lnterval on the Mean Response Prediction of New Observations Model Adequacy Checking Residual Analysis Influential Observations Aspectsof Multiple Regression Modeling Polynomial Regression Models Categorical Regressors and Indicator Variabtes Selection of Variables and Model Building Multicollinearity Design and Analysis of Single-Factor Experiments: The Analysis ofVariance Designing Engineering Experiments Completely Randomized Single-Factor Experiment Example:TensileStrength Multiple Comparisons Following the ANOVA Residual Analysis and Model Checking DeterminingSample Size The Random-Effects Model Fixed Versus Random Factors ANOVAand Variance Components Randomized Complete Błock Design Design and Statistical Analysis Multiple Comparisons Residual Analysis and Model Checking Design of Experiments with Several Factors Factorial Experiments Two-Factor Factorial Experiments Statistical Analysis ModelAdequacy Checking One Observation per Celi General Factorial Experiments 2k Factorial Designs 22 Design 2k Design for k > 3 Factors Single Replicate of the 2k Design Addition of Center Points to a 2k Design Blocking and Confounding in the 2k Design One-Half Fractionof the 2k Design Smaller Fractions: The 2k~p Fractional Factorial Response Surface Methods and Designs Statistical Quality Control Quality lmprovement and Statistics Statistical Quality Control Statistical Process Control Introduction to Control Charts Design of a Control Chart Rational Subgroups Analysis of Patterns on Control Charts X and RorS Control Charts Control Charts for lndividual Measurements Process Capability Attribute Control Charts P Chart (Control Chart for Proportions) U Chart (Control Chart for Defects per Unit) Control Chart Performance Time-Weighted Charts Exponentially Weighted Moving-Average Control Chart Cumulative Sum Control Chart OtherSPC Problem-SolvingTools Decision Theory Decision Models Decision Criteria ImplementingSPC Summary of Common Probability Cumulative Binomial Probabilities P(X < x) A-5 Cumulative Standard Normal Distribution Percentage Points %2av of the Chi-Squared Distribution A-10 Percentage Points tal/of the t Distribution Percentage Points fay v of the F Distribution ChartVII OperatingCharacteristicCurves Table VIII Critical Values for the Sign Test Critical Values for the Wilcoxon Signed-RankTest Critical Values for the Wilcoxon Rank-SumTest Factors for Constructing Variables Control Charts A-28 Factors for Tolerance Inten/ais A-29
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"A Wiley-Interscience publication."
Bibliogr. s. 483-486. Indeks.
Sygnatura czytelni BMW: XIII 81 (nowy)
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