Probability and statistical inference / / Robert Bartoszynski, Magdalena Niewiadomska-Bugaj

• Record Nr.: UNINA9910555091703321
• Autore: Bartoszyński Robert
• Pubbl/distr/stampa: Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021]; ©2021
• ISBN: 1-119-24381-5; 1-119-24382-3; 1-119-24383-1
• Edizione: [3rd ed.]
• Descrizione fisica: 1 online resource (595 pages)
• Collana: Wiley Series in Probability and Statistics Ser.
• Disciplina: 519.54
• Soggetti: Probabilities; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover -- Title Page -- Copyright -- Contents -- Preface to Third Edition -- Preface to Second Edition -- About the Companion Website -- Chapter 1 Experiments, Sample Spaces, and Events -- 1.1 Introduction -- 1.2 Sample Space -- 1.3 Algebra of Events -- 1.4 Infinite Operations on Events -- Chapter 2 Probability -- 2.1 Introduction -- 2.2 Probability as a Frequency -- 2.3 Axioms of Probability -- 2.4 Consequences of the Axioms -- 2.5 Classical Probability -- 2.6 Necessity of the Axioms* -- 2.7 Subjective Probability* -- Chapter 3 Counting -- 3.1 Introduction -- 3.2 Product Sets, Orderings, and Permutations -- 3.3 Binomial Coefficients -- 3.4 Multinomial Coefficients -- Chapter 4 Conditional Probability, Independence, and Markov Chains -- 4.1 Introduction -- 4.2 Conditional Probability -- 4.3 Partitions -- Total Probability Formula -- 4.4 Bayes' Formula -- 4.5 Independence -- 4.6 Exchangeability -- Conditional Independence -- 4.7 Markov Chains* -- Chapter 5 Random Variables: Univariate Case -- 5.1 Introduction -- 5.2 Distributions of Random Variables -- 5.3 Discrete and Continuous Random Variables -- 5.4 Functions of Random Variables -- 5.5 Survival and Hazard Functions -- Chapter 6 Random Variables: Multivariate Case -- 6.1 ; Bivariate Distributions -- 6.2 Marginal Distributions -- Independence -- 6.3 Conditional Distributions -- 6.4 Bivariate Transformations -- 6.5 Multidimensional Distributions -- Chapter 7 Expectation -- 7.1 Introduction -- 7.2 Expected Value -- 7.3 Expectation as an Integral* -- Riemann Integral -- Lebesque Integral -- Riemann-Stieltjes Integral -- Lebesque-Stieltjes Integral -- Lebesque Integral: General Case -- 7.4 Properties of Expectation -- 7.5 Moments -- 7.6 Variance -- 7.7 Conditional Expectation -- 7.8 Inequalities -- Chapter 8 Selected Families of Distributions -- 8.1 Bernoulli Trials and Related Distributions.; Binomial Distribution -- Geometric Distribution -- Negative Binomial Distribution -- 8.2 Hypergeometric Distribution -- 8.3 Poisson Distribution and Poisson Process -- 8.4 Exponential, Gamma, and Related Distributions -- 8.5 Normal Distribution -- 8.6 Beta Distribution -- Chapter 9 Random Samples -- 9.1 Statistics and Sampling Distributions -- 9.2 Distributions Related to Normal -- 9.3 Order Statistics -- 9.4 Generating Random Samples -- 9.5 Convergence -- Weak Laws of Large Numbers -- Strong Laws of Large Numbers -- 9.6 Central Limit Theorem -- Chapter 10 Introduction to Statistical Inference -- 10.1 Overview -- 10.2 Basic Models -- 10.3 Sampling -- 10.4 Measurement Scales -- Chapter 11 Estimation -- 11.1 Introduction -- 11.2 Consistency -- 11.3 Loss, Risk, and Admissibility -- 11.4 Efficiency -- 11.5 Methods of Obtaining Estimators -- Method of Moments Estimators -- Maximum Likelihood Estimators -- Least Squares Estimators -- Robust Estimators -- 11.6 Sufficiency -- 11.7 Interval Estimation -- Confidence Intervals -- Bootstrap Intervals -- Chapter 12 Testing Statistical Hypotheses -- 12.1 Introduction -- 12.2 Intuitive Background -- 12.3 Most Powerful Tests -- 12.4 Uniformly Most Powerful Tests -- 12.5 Unbiased Tests -- 12.6 Generalized Likelihood Ratio Tests -- 12.7 Conditional Tests -- 12.8 Tests and Confidence Intervals -- 12.9 Review of Tests for Normal Distributions -- One‐Sample Procedures -- Hypotheses About the Variance, Mean Known -- Hypotheses About the Variance, Mean Unknown -- Two‐Sample Procedures -- Large Sample Tests for Binomial Distribution -- 12.10 Monte Carlo, Bootstrap, and Permutation Tests -- Monte Carlo Tests -- Bootstrap Tests -- Permutation Tests -- Chapter 13 Linear Models -- 13.1 Introduction -- 13.2 Regression of the First and Second Kind -- 13.3 Distributional Assumptions -- 13.4 Linear Regression in the Normal Case.; 13.5 Testing Linearity -- 13.6 Prediction -- 13.7 Inverse Regression -- 13.8 BLUE -- 13.9 Regression Toward the Mean -- 13.10 Analysis of Variance -- 13.11 One‐Way Layout -- 13.12 Two‐Way Layout -- 13.13 ANOVA Models with Interaction -- 13.14 Further Extensions -- Chapter 14 Rank Methods -- 14.1 Introduction -- 14.2 Glivenko-Cantelli Theorem -- 14.3 Kolmogorov-Smirnov Tests -- One‐Sample Kolmogorov-Smirnov Test -- Two‐Sample Kolmogorov-Smirnov Test -- 14.4 One‐Sample Rank Tests -- 14.5 Two‐Sample Rank Tests -- 14.6 Kruskal-Wallis Test -- Chapter 15 Analysis of Categorical Data -- 15.1 Introduction -- 15.2 Chi‐Square Tests -- 15.3 Homogeneity and Independence -- 15.4 Consistency and Power -- 15.5 2 × 2 Contingency Tables -- 15.6 r×c Contingency Tables -- Chapter 16 Basics of Bayesian Statistics -- 16.1 Introduction -- 16.2 Prior and Posterior Distributions -- 16.3 Bayesian Inference -- Predictive Distribution -- Point Estimation -- Bayesian Intervals -- Bayesian Hypotheses Testing -- 16.4 Final Comments -- Appendix A Supporting R Code -- Appendix B Statistical Tables -- Bibliography -- Answers to Odd‐Numbered Problems -- Index -- EULA.

Solar module packaging : polymeric requirements and selection / / Michelle Poliskie

• Record Nr.: UNINA9910411653403321
• Autore: Poliskie Michelle
• Pubbl/distr/stampa: Boca Raton, : CRC Press, 2011; Boca Raton, Florida : , : CRC Press, , 2011
• ISBN: 9781000218800; 1000218805; 9780429105166; 0429105169; 9781138077652; 1138077658; 9781439850749; 1439850747
• Edizione: [First edition]
• Descrizione fisica: 1 online resource (228 pages)
• Classificazione: TEC007000TEC009020TEC021000
• Disciplina: 688.8; 621.31244
• Soggetti: Photovoltaic cells - Packaging
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Front Cover; Contents; Preface; Acknowledgments; Chapter 1: Introduction to Polymers; Chapter 2: Certification and Characterization of Photovoltaic Packaging; Chapter 3: Polymer Specifications for Photovoltaic (PV) Packaging and Balance of System (BOS) Components; Chapter 4: Polymer Processing Techniques Used in Photovoltaic Packaging and Balance of Systems (BOS) Component Fabrication; Chapter 5: Economic Theory and Photovoltaic Packaging; Chapter 6: Other Polymeric Applications in Photovoltaic Modules; Appendix A: Conversion Factors and Common Units of Measurement; Appendix B: Glossary; Back Cover
• Sommario/riassunto: While global demand for photovoltaic (PV) modules has increased approximately 45 percent per year over the past decade, PV modules ; must be durable and inexpensive to compete with traditional energy resources. Often overlooked as a means to improve solar technology, polymer packaging is not only the key to protecting fragile solar cells from environmental factors, but is also the critical path for increasing the power performance of a PV module. Solar Module Packaging: Polymeric Requirements and Selection explores current and future opportunities in PV polymeric packa