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Modern mathematical statistics with applications / / Jay L. Devore, Kenneth N. Berk, Matthew A. Carlton
| Modern mathematical statistics with applications / / Jay L. Devore, Kenneth N. Berk, Matthew A. Carlton |
| Autore | Devore Jay L. |
| Edizione | [Third edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (981 pages) |
| Disciplina | 519.5 |
| Collana | Springer Texts in Statistics |
| Soggetto topico |
Mathematical statistics
Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-55156-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Purpose -- Content and Mathematical Level -- Recommended Coverage -- Revisions for This Edition -- Acknowledgements -- A Final Thought -- Contents -- 1 Overview and Descriptive Statistics -- 1.1 The Language of Statistics -- 1.2 Graphical Methods in Descriptive Statistics -- 1.3 Measures of Center -- 1.4 Measures of Variability -- Supplementary Exercises: (73-96) -- 2 Probability -- 2.1 Sample Spaces and Events -- 2.2 Axioms, Interpretations, and Properties of Probability -- 2.3 Counting Methods -- 2.4 Conditional Probability -- 2.5 Independence -- 2.6 Simulation of Random Events -- Supplementary Exercises: (113-140) -- 3 Discrete Random Variables and Probability Distributions -- 3.1 Random Variables -- 3.2 Probability Distributions for Discrete Random Variables -- 3.3 Expected Values of Discrete Random Variables -- 3.4 Moments and Moment Generating Functions -- 3.5 The Binomial Probability Distribution -- 3.6 The Poisson Probability Distribution -- 3.7 Other Discrete Distributions -- 3.8 Simulation of Discrete Random Variables -- Supplementary Exercises: (138-169) -- 4 Continuous Random Variables and Probability Distributions -- 4.1 Probability Density Functions and Cumulative Distribution Functions -- 4.2 Expected Values and Moment Generating Functions -- 4.3 The Normal Distribution -- 4.4 The Gamma Distribution and Its Relatives -- 4.5 Other Continuous Distributions -- 4.6 Probability Plots -- 4.7 Transformations of a Random Variable -- 4.8 Simulation of Continuous Random Variables -- Supplementary Exercises: (131-159) -- 5 Joint Probability Distributions and Their Applications -- 5.2 Expected Values, Covariance, and Correlation -- 5.3 Linear Combinations -- 5.4 Conditional Distributions and Conditional Expectation -- 5.5 The Bivariate Normal Distribution -- 5.6 Transformations of Multiple Random Variables.
5.7 Order Statistics -- Supplementary Exercises: (122-150) -- 6 Statistics and Sampling Distributions -- 6.1 Statistics and Their Distributions -- 6.2 The Distribution of Sample Totals, Means, and Proportions -- 6.3 The χ2, t, and F Distributions -- 6.4 Distributions Based on Normal Random Samples -- Supplementary Exercises: (59-68) -- Appendix: Proof of the Central Limit Theorem -- 7 Point Estimation -- 7.1 Concepts and Criteria for Point Estimation -- 7.2 The Methods of Moments and Maximum Likelihood -- 7.3 Sufficiency -- 7.4 Information and Efficiency -- Supplementary Exercises: (61-78) -- 8 Statistical Intervals Based on a Single Sample -- 8.1 Basic Properties of Confidence Intervals -- 8.2 The One-Sample t Interval and Its Relatives -- 8.3 Intervals for a Population Proportion -- 8.4 Confidence Intervals for the Population Variance and Standard Deviation -- 8.5 Bootstrap Confidence Intervals -- Supplementary Exercises (71-92) -- 9 Tests of Hypotheses Based on a Single Sample -- 9.1 Hypotheses and Test Procedures -- 9.2 Tests About a Population Mean -- 9.3 Tests About a Population Proportion -- 9.4 P-Values -- 9.5 The Neyman-Pearson Lemma and Likelihood Ratio Tests -- 9.6 Further Aspects of Hypothesis Testing -- Supplementary Exercises: (83-102) -- 10 Inferences Based on Two Samples -- 10.1 The Two-Sample z Confidence Interval and Test -- 10.2 The Two-Sample t Confidence Interval and Test -- 10.3 Analysis of Paired Data -- 10.4 Inferences About Two Population Proportions -- 10.5 Inferences About Two Population Variances -- 10.6 Inferences Using the Bootstrap and Permutation Methods -- Supplementary Exercises: (95-124) -- 11 The Analysis of Variance -- 11.1 Single-Factor ANOVA -- 11.2 Multiple Comparisons in ANOVA -- 11.3 More on Single-Factor ANOVA -- 11.4 Two-Factor ANOVA without Replication -- 11.5 Two-Factor ANOVA with Replication. Supplementary Exercises: (74-84) -- 12 Regression and Correlation -- 12.1 The Simple Linear Regression Model -- 12.2 Estimating Model Parameters -- 12.3 Inferences About the Regression Coefficient β1 -- 12.4 Inferences for the (Mean) Response -- 12.5 Correlation -- 12.6 Investigating Model Adequacy: Residual Analysis -- 12.7 Multiple Regression Analysis -- 12.8 Quadratic, Interaction, and Indicator Terms -- 12.9 Regression with Matrices -- 12.10 Logistic Regression -- Supplementary Exercises: (121-138) -- 13 Chi-Squared Tests -- 13.1 Goodness-of-Fit Tests -- 13.2 Two-Way Contingency Tables -- Supplementary Exercises: (32-43) -- 14 Nonparametric Methods -- 14.1 Exact Inference for Population Quantiles -- 14.2 One-Sample Rank-Based Inference -- 14.3 Two-Sample Rank-Based Inference -- 14.4 Nonparametric ANOVA -- Supplementary Exercises: (49-58) -- 15 Introduction to Bayesian Estimation -- 15.1 Prior and Posterior Distributions -- 15.2 Bayesian Point and Interval Estimation -- Appendix_1 -- Appendix_2 -- Bib1 -- Bib1 -- Index. |
| Record Nr. | UNINA-9910483801403321 |
Devore Jay L.
|
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multivariate, multilinear and mixed linear models / / Katarzyna Filipiak, Augustyn Markiewicz, Dietrich von Rosen, editors
| Multivariate, multilinear and mixed linear models / / Katarzyna Filipiak, Augustyn Markiewicz, Dietrich von Rosen, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (357 pages) |
| Disciplina | 519.535 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Multivariate analysis
Mathematical statistics Linear models (Statistics) Anàlisi multivariable Estadística matemàtica Models lineals (Estadística) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-75494-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466403403316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multivariate, multilinear and mixed linear models / / Katarzyna Filipiak, Augustyn Markiewicz, Dietrich von Rosen, editors
| Multivariate, multilinear and mixed linear models / / Katarzyna Filipiak, Augustyn Markiewicz, Dietrich von Rosen, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (357 pages) |
| Disciplina | 519.535 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Multivariate analysis
Mathematical statistics Linear models (Statistics) Anàlisi multivariable Estadística matemàtica Models lineals (Estadística) |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-75494-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502617303321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The myth of statistical inference / / Michael C. Acree
| The myth of statistical inference / / Michael C. Acree |
| Autore | Acree Michael C. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (457 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Mathematical statistics - Philosophy
Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-73257-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Reference -- Contents -- About the Author -- Chapter 1: Synopsis, by Way of Autobiography -- 1.1 The Problem as I Originally Confronted it -- 1.1.1 The Place of Statistics in the Social Sciences -- 1.1.2 Statistical Inference and its Misconceptions -- 1.1.3 The Root of the Problem in the Dualistic Concept of Probability -- 1.2 How this Book Came about -- 1.3 Some Qualifications, Objections, and Implications -- 1.3.1 Intervening Developments -- 1.3.2 Some Qualifications Regarding the Historical Argument -- 1.3.3 An Ad Hominem Ipsum -- References -- Chapter 2: The Philosophical and Cultural Context for the Emergence of Probability and Statistical Inference -- 2.1 Brief Excursus on Historical Cognitive Change -- 2.1.1 Ancient Greece -- 2.1.2 Medieval Europe -- 2.1.3 General Observations -- 2.2 The Concept of Skeuomorphosis -- 2.2.1 Early Technologies of Distance -- 2.2.2 The Emergence of the Market Economy -- 2.2.3 Mathematical, Mechanistic, and Relativistic Thinking -- 2.2.4 Scientific Objectivity -- 2.3 Some Consequences for Epistemology -- 2.3.1 The Concept of Sign -- 2.3.2 The Combinatorics of Language and Thought -- 2.3.3 Causality -- 2.3.4 Representation -- 2.4 Some Psychological and Cultural Considerations -- 2.4.1 The Emergence of Self-Consciousness -- 2.4.2 Polarizations, Alignments, and Projections -- 2.5 Summary and Preview -- References -- Chapter 3: Origin of the Modern Concept of Probability -- 3.1 Why Gambling per se Didn't Lead to a Theory of Mathematical Probability -- 3.2 The Concept of Probability before the Seventeenth Century -- 3.3 The Calculus of Expectation -- 3.4 Statistics -- 3.5 The Art of Conjecturing -- 3.5.1 The Law of Large Numbers -- 3.5.2 The Metaphysical Status of Probability -- 3.5.3 One Word, Two Scales -- 3.6 Implications for Future Developments -- References.
Chapter 4: The Classical Theory of Statistical Inference -- 4.1 Bayes -- 4.2 Laplace -- 4.3 Criticism -- References -- Chapter 5: Nineteenth-Century Developments in Statistics -- 5.1 Descriptive Statistics -- 5.1.1 The Normal Curve in Astronomy -- 5.1.2 Application of the Normal Distribution to Populations: Quetelet -- 5.1.3 Galton, Pearson, and the Biometricians -- 5.2 Precursors of Significance Testing -- 5.2.1 Arbuthnot's and Gavarret's Use of the Binomial -- 5.2.2 Probabilistic Criteria for the Rejection of Discordant Observations in Astronomy -- 5.2.3 The Normal Model and Data in the Social Sciences -- 5.2.4 The Pun on Significance -- 5.2.5 Small Datasets in Agricultural Research -- References -- Chapter 6: The Frequency Theory of Probability -- 6.1 The Principle of Indifference -- 6.2 The Frequency Theorists -- 6.2.1 Venn -- 6.2.2 Peirce -- 6.2.3 Richard von Mises -- 6.2.4 Reichenbach -- 6.2.5 Popper -- 6.3 The Concept of Randomness -- 6.4 Summary -- References -- Chapter 7: The Fisher and Neyman-Pearson Theories of Statistical Inference -- 7.1 Fisher -- 7.2 The Fisherian Theory of Statistical Inference -- 7.2.1 Maximum Likelihood -- 7.2.2 Significance Testing -- 7.2.3 Fiducial Probability -- 7.3 Neyman and Pearson -- 7.3.1 Hypothesis Testing -- 7.3.2 Confidence Intervals -- 7.4 Differences Between the Fisher and Neyman-Pearson Theories -- References -- Chapter 8: Bayesian Theories of Probability and Statistical Inference -- 8.1 Logical Theories of Probability -- 8.1.1 Keynes -- 8.1.2 Jeffreys -- 8.1.3 Jaynes -- 8.2 Personalist Theories of Probability -- 8.2.1 Ramsey -- 8.2.2 De Finetti -- 8.2.3 Savage -- 8.2.4 Wald's Decision Theory -- 8.3 General Structure of Bayesian Inference -- 8.4 Criticism -- 8.4.1 The Logical Allocation of Prior Probabilities -- 8.4.2 The Subjective Allocation of Prior Probabilities -- 8.4.3 Subjectivity. 8.5 Putting Theories to Work -- References -- Chapter 9: Statistical Inference in Psychological and Medical Research -- 9.1 Psychological Measurement -- 9.2 From Large-Sample to Small-Sample Theory in Psychology -- 9.2.1 The Concept of Probability -- 9.2.2 Significance Versus Confidence -- 9.2.3 Power -- 9.2.4 Random Sampling -- 9.3 To the Present -- 9.4 The Context of Use -- 9.4.1 Contexts of Discovery Versus Verification -- 9.4.2 Statistical Significance as an Indicator of Research Quality -- 9.5 Problems in Application of Statistical Inference to Psychological Research -- 9.5.1 Epistemic Versus Behavioral Orientation -- 9.5.2 The Literalness of Acceptance -- 9.5.3 The Individual Versus the Aggregate -- 9.5.4 The Paradox of Precision -- 9.5.5 Identification with the Null -- 9.5.6 Random Sampling from Hypothetical Infinite Populations -- 9.5.7 Assumption Violation -- 9.5.8 The Impact of the Preceding Problems -- 9.6 Possible Responses By Frequentists and Bayesians -- 9.7 Toward Resolution: The Frequentists Versus the Bayesians -- 9.8 The Recent Integration of Bayesian Concepts and Methods Into Psychological and Medical Research -- 9.8.1 Hierarchical Models -- 9.8.2 Multiple Imputation of Missing Data -- 9.9 Postscript on Statistics in Medicine -- References -- Chapter 10: Recent Work in Probability and Inference -- 10.1 Statistical and Nonstatistical Inference -- 10.1.1 The Putative Philosophical Distinction -- 10.1.2 Psychological Research on Reasoning in Statistical Contexts -- 10.1.3 Models of Inference -- 10.1.4 General Issues -- 10.1.5 Randomness, Representativeness, and Replication in Psychological Research -- 10.2 The Ontogenesis of Probability -- 10.3 The Propensity Theory of Probability -- 10.4 The Likelihood Theory of Statistical Inference -- 10.5 Shafer's Theory of Belief Functions. 10.6 Recent Work on Reasoning in Philosophy and Artificial Intelligence -- 10.6.1 Some Recent Concepts from Artificial Intelligence -- 10.6.2 Bayesian versus Dempster-Shafer Formalisms -- 10.7 On Formalization -- 10.7.1 Limits -- 10.7.2 The Relation Between Philosophy and Psychology: Bayesian Theory -- 10.7.3 Purposes -- 10.8 Summary of Challenges to Bayesian Theory -- 10.9 Postscript on Bayesian Neuropsychology -- References -- Chapter 11: Conclusions and the Future of Psychological Research -- 11.1 Conclusions -- 11.1.1 The Concept of Probability -- 11.1.2 The Concept of Statistical Inference -- 11.2 The Future of Psychological Research -- 11.2.1 Surface Obstacles to Change -- 11.2.2 Possible Paths for Quantitative Research -- 11.2.3 The Ambivalent Promise of Qualitative Methods -- 11.2.4 Toward Deeper Obstacles to Change -- 11.3 The Philosophical, Social, and Psychological Context for the Emergence of a New Epistemology -- 11.3.1 Empty Self -- 11.3.2 Empty World -- 11.3.3 Objectivity, Skeuomorphosis, and the Problem of Scale -- 11.3.4 The Scarecrows of Relativism and Anarchy -- 11.4 Biomedical Research Without a Biomedical Model -- 11.5 Postscript on Perceptual Control Theory -- References -- Index. |
| Record Nr. | UNINA-9910490027303321 |
|
Acree Michael C.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / / Marcus Hellwig
| Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / / Marcus Hellwig |
| Autore | Hellwig Marcus |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIII, 110 p. 95 illus., 93 illus. in color.) |
| Disciplina | 614.4072 |
| Soggetto topico |
Epidemiology - Statistical methods
Epidemiologia Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-69500-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Trends in the spread of infections, distribution and contact rates -- Addition of the 4th parameter kurtosis to the density Eqb -- Prediction using the density function and continuous adjustment of the parameters -- Basics for exponential propagation, the logarithm of historical data -- Developments in the USA -- Incidence under probabilistic aspects -- On the percolation theory COVID -- Examples of percolation effects. |
| Record Nr. | UNISA-996466398603316 |
|
Hellwig Marcus
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / / Marcus Hellwig
| Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / / Marcus Hellwig |
| Autore | Hellwig Marcus |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIII, 110 p. 95 illus., 93 illus. in color.) |
| Disciplina | 614.4072 |
| Soggetto topico |
Epidemiology - Statistical methods
Epidemiologia Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-69500-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Trends in the spread of infections, distribution and contact rates -- Addition of the 4th parameter kurtosis to the density Eqb -- Prediction using the density function and continuous adjustment of the parameters -- Basics for exponential propagation, the logarithm of historical data -- Developments in the USA -- Incidence under probabilistic aspects -- On the percolation theory COVID -- Examples of percolation effects. |
| Record Nr. | UNINA-9910483200403321 |
|
Hellwig Marcus
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Permutation statistical methods with R / / Kenneth J. Berry [and three others]
| Permutation statistical methods with R / / Kenneth J. Berry [and three others] |
| Autore | Berry Kenneth J. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (677 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Mathematical statistics
R (Computer program language) Estadística matemàtica R (Llenguatge de programació) Permutacions |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-74361-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502636803321 |
|
Berry Kenneth J.
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Permutation statistical methods with R / / Kenneth J. Berry [and three others]
| Permutation statistical methods with R / / Kenneth J. Berry [and three others] |
| Autore | Berry Kenneth J. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (677 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Mathematical statistics
R (Computer program language) Estadística matemàtica R (Llenguatge de programació) Permutacions |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-74361-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466386403316 |
|
Berry Kenneth J.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Probability and mathematical statistics / / Institute of Mathematics, Polish Academy of Sciences
| Probability and mathematical statistics / / Institute of Mathematics, Polish Academy of Sciences |
| Pubbl/distr/stampa | Wrocław, : Polish Scientific Publishers, ©1980- |
| Descrizione fisica | 1 online resource |
| Disciplina | 519.2/05 |
| Soggetto topico |
Probabilities
Mathematical statistics Probabilitats Estadística matemàtica |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. |
| ISSN | 2300-8113 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910132901703321 |
| Wrocław, : Polish Scientific Publishers, ©1980- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probability and mathematical statistics / / Institute of Mathematics, Polish Academy of Sciences
| Probability and mathematical statistics / / Institute of Mathematics, Polish Academy of Sciences |
| Pubbl/distr/stampa | Wrocław, : Polish Scientific Publishers, ©1980- |
| Descrizione fisica | 1 online resource |
| Disciplina | 519.2/05 |
| Soggetto topico |
Probabilities
Mathematical statistics Probabilitats Estadística matemàtica |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. |
| ISSN | 2300-8113 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996208193803316 |
| Wrocław, : Polish Scientific Publishers, ©1980- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Soggetto topico
-
Estadística matemàtica
(152)
- Mathematical statistics (58)
- Statistics (27)
- Biometry (17)
- Probabilitats (17)