INTRODUCTION TO MATHEMATICAL STATISTICS (8版)
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Introduction to Mathematical Statistics, Global Edition
ISBN13:9781292264769
出版社:Pearson Education Limited
作者:Robert V. Hogg;Joeseph McKean;Allen T. Craig
裝訂/頁數:平裝/760頁
規格:20.7cm*25.5cm*2.1cm (高/寬/厚)
版次:8
出版日:2019/11/05
內容簡介
Comprehensive coverage of mathematical statistics – with a proven approach
Introduction to Mathematical Statistics by Hogg, McKean, and Craig enhances student comprehension and retention with numerous, illustrative examples and exercises. Classical statistical inference procedures in estimation and testing are explored extensively, and the text’s flexible organization makes it ideal for a range of mathematical statistics courses.
Substantial changes to the 8th Edition – many based on user feedback – help students appreciate the connection between statistical theory and statistical practice, while other changes enhance the development and discussion of the statistical theory presented.
1. Many additional real data sets to illustrate statistical methods or compare methods.
2. Expanded use of the statistical software R, a powerful statistical language which is free and can run on all three main platforms. However, instructors can choose another statistical package if desired.
3. Downloadable, supplemented mathematical review material in Appendix A: reviews sequences, infinite series, differentiation, and integration (univariate and bivariate).
4. Expanded discussion of iterated integrals, with added figures to clarify discussion.
5. A new subsection on the bivariate normal distribution begins the section on the multivariate normal distribution in Chapter 3 (Some Special Distributions).
6. Several important topics have been added, including Tukey’s multiple comparison procedure in Chapter 9 (Inferences About Normal Models)and confidence intervals for the correlation coefficients found in Chapters 9 and 10 (Nonparametric and Robust Statistics).
7. Discussion on standard errors for estimates obtained by bootstrapping the sample is now offered in Chapter 7 (Sufficiency).
Several topics that were discussed in the Exercises are now discussed in the text, including quantiles in Section 1.7.1 and hazard functions in Section 3.3.
目錄
Ch 1 Probability and Distributions
Ch 2 Multivariate Distributions
Ch 3 Some Special Distributions
Ch 4 Some Elementary Statistical Inferences
Ch 5 Consistency and Limiting Distributions
Ch 6 Maximum Likelihood Methods
Ch 7 Sufficiency
Ch 8 Optimal Tests of Hypotheses
Ch 9 Inferences About Normal Models
Ch10 Nonparametric and Robust Statistics
Ch11 Bayesian Statistics
原價:
1460
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1314
現省:
146元
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Measure and Integral: An Introduction to Real Analysis (2版)
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書名:Measure and Integral: An Introduction to Real Analysis 2/e
作者:Richard L. Wheeden
出版社:CRC Press
ISBN:9781498702898
原價:
2240
售價:
2120
現省:
120元
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Visual Differential Geometry and Forms: A Mathematical Drama in Five Acts
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Visual Differential Geometry and Forms: A Mathematical Drama in Five Acts
ISBN13:9780691203706
出版社:Princeton Univ Pr
作者:Tristan Needham
裝訂:平裝
出版日:2021/06/22
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Analyzing Mathematical Patterns - Detection & Formulation: Inductive Approach To Recognition, Analysis And Formulations Of Patterns
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CLASSICAL AND FUZZY CONCEPTS IN MATHEMATICAL LOGIC AND APPLICATIONS
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Classical and Fuzzy Concepts in Mathematical Logic and Applications provides a broad, thorough coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic.
Exploring the parallels between classical and fuzzy mathematical logic, the book examines the use of logic in computer science, addresses questions in automatic deduction, and describes efficient computer implementation of proof techniques.
Specific issues discussed include:
Propositional and predicate logic
Logic networks
Logic programming
Proof of correctness
Semantics
Syntax
Completenesss
Non-contradiction
Theorems of Herbrand and Kalman
The authors consider that the teaching of logic for computer science is biased by the absence of motivations, comments, relevant and convincing examples, graphic aids, and the use of color to distinguish language and metalanguage. Classical and Fuzzy Concepts in Mathematical Logic and Applications discusses how the presence of these facts trigger a stirring, decisive insight into the understanding process. This view shapes this work, reflecting the authors' subjective balance between the scientific and pedagogic components of the textbook.
Usually, problems in logic lack relevance, creating a gap between classroom learning and applications to real-life problems. The book includes a variety of application-oriented problems at the end of almost every section, including programming problems in PROLOG III. With the possibility of carrying out proofs with PROLOG III and other software packages, readers will gain a first-hand experience and thus a deeper understanding of the idea of formal proof.
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Set Theory and Foundations of Mathematics: An Introduction to Mathematical Logic Volume II: Foundations of Mathematics
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This book provides an introduction to mathematical logic and the foundations of mathematics. It will help prepare students for advanced study in set theory and mathematical logic as well as other areas of mathematics, such as analysis, topology, and algebra. The presentation of finite state and Turing machines leads to the Halting Problem and Gödel's Incompleteness Theorem, which have broad academic interest, particularly in computer science and philosophy.
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Sample Chapter(s)
Preface
Chapter 1: Introduction
Contents:
Preface
About the Authors
Introduction
Propositional Logic
Predicate Logic
Models of Predicate Logic
Boolean Algebras
Computability
Decidable and Undecidable Theories
Algorithmic Randomness
Nonstandard Numbers
Foundations of Geometry
Bibliography
Index
Readership: Advanced undergraduate or beginning graduate students interested in mathematical logic, mathematics, computer science, and philosophy.
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Studies in Logic and the Foundations of Mathematics
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An Invitation to Mathematical Logic
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Mathematical Logic 2021 <SV>
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