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Inférence statistique 2e édition 2E par George Casella et Roger L. Berger

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Caractéristiques de l'objet

État
Entièrement neuf: Un livre neuf, non lu, non utilisé et en parfait état, sans aucune page manquante ...
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International-ISBN
9788131503942
Book Title
Statistical Inference, 2Nd Ed.
Product-Type
INTERNATIONAL PAPERBACK EDITION
Cover-Design
May Differ from Original Picture
Packaging
Shrinkwrapped - Box Packed
Contents
Same as US Edition
Language:
English
Subject
Statistics
ISBN
9780534243128
Publication Name
Statistical Inference
Item Length
9.5in
Publisher
Brooks/Cole
Publication Year
2001
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2in
Author
George Casella, Roger L. Berger
Features
Revised
Item Width
6.7in
Item Weight
36.7 Oz
Number of Pages
688 Pages

À propos de ce produit

Product Information

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

Product Identifiers

Publisher
Brooks/Cole
ISBN-10
0534243126
ISBN-13
9780534243128
eBay Product ID (ePID)
769861

Product Key Features

Author
George Casella, Roger L. Berger
Publication Name
Statistical Inference
Format
Hardcover
Language
English
Features
Revised
Publication Year
2001
Type
Textbook
Number of Pages
688 Pages

Dimensions

Item Length
9.5in
Item Height
1.2in
Item Width
6.7in
Item Weight
36.7 Oz

Additional Product Features

Lc Classification Number
Qa276.C37 2002
Edition Description
Revised Edition
Edition Number
2
Reviews
Statistical Inference is a delightfully modern text on statistical theory and deserves serious consideration from every teacher of a graduate- or advanced undergraduate-level first course in statistical theory. . . Chapters 1-5 provide plenty of interesting examples illustrating either the basic concepts of probability or the basic techniques of finding distribution. . . The book has unique features [throughout Chapters 6-12] for example, I have never seen in any comparable text such extensive discussion of ancillary statistics [Ch. 6], including Basu's theorem, dealing with the independence of complete sufficient statistics and ancillary statistics. Basu's theorem is such a useful tool that it should be available to every graduate student of statistics. . . The derivation of the analysis of variance (ANOVA)F test in Chapter 11 via the union-intersection principle is very nice. . . Chapter 12 contains, in addition to the standard regression model, errors-in-variables models. This topic will be of considerable importance in the years ahead, and the authors should be thanked for giving the reader an introduction to it. . . Another nice feature is the Miscellanea Section at the end of nearly every chapter. This gives the serious student an opportunity to go beyond the basic material of the text and look at some of the more advanced work on the topics, thereby developing a much better feel for the subject., Statistical Inference is a delightfully modern text on statistical theory and deserves serious consideration from every teacher of a graduate- or advanced undergraduate-level first course in statistical theory. . . Chapters 1-5 provide plenty of interesting examples illustrating either the basic concepts of probability or the basic techniques of finding distribution. . . The book has unique features [throughout Chapters 6-12] for example, I have never seen in any comparable text such extensive discussion o|9780534243128|
Table of Content
1. Probability Theory.Set Theory. Probability Theory. Conditional Probability and Independence. Random Variables. Distribution Functions. Density and Mass Functions. Exercises. Miscellanea.2. Transformations and Expectations.Distribution of Functions of a Random Variable. Expected Values. Moments and Moment Generating Functions. Differentiating Under an Integral Sign. Exercises. Miscellanea.3. Common Families of Distributions.Introductions. Discrete Distributions. Continuous Distributions. Exponential Families. Locations and Scale Families. Inequalities and Identities. Exercises. Miscellanea.4. Multiple Random Variables. Joint and Marginal Distributions. Conditional Distributions and Independence. Bivariate Transformations. Hierarchical Models and Mixture Distributions. Covariance and Correlation. Multivariate Distributions. Inequalities. Exercises. Miscellanea.5. Properties of a Random Sample.Basic Concepts of Random Samples. Sums of Random Variables from a Random Sample. Sampling for the Normal Distribution. Order Statistics. Convergence Concepts. Generating a Random Sample. Exercises. Miscellanea.6. Principles of Data Reduction.Introduction. The Sufficiency Principle. The Likelihood Principle. The Equivariance Principle. Exercises. Miscellanea.7. Point Estimation.Introduction. Methods of Finding Estimators. Methods of Evaluating Estimators. Exercises. Miscellanea.8. Hypothesis Testing.Introduction. Methods of Finding Tests. Methods of Evaluating Test. Exercises. Miscellanea.9. Interval Estimation.Introduction. Methods of Finding Interval Estimators. Methods of Evaluating Interval Estimators. Exercises. Miscellanea.10. Asymptotic Evaluations.Point Estimation. Robustness. Hypothesis Testing. Interval Estimation. Exercises. Miscellanea.11. Analysis of Variance and Regression.Introduction. One-way Analysis of Variance. Simple Linear Regression. Exercises. Miscellanea.12. Regression Models.Introduction. Regression with Errors in Variables. Logistic Regression. Robust Regression. Exercises. Miscellanea. Appendix. Computer Algebra. References.
Copyright Date
2002
Topic
Probability & Statistics / General
Lccn
2001-025794
Dewey Decimal
519.5/7
Intended Audience
College Audience
Dewey Edition
23/Eng/20231120
Illustrated
Yes
Genre
Mathematics

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Communication
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4.3
20 évaluations du produit
  • 12 utilisateurs ont attribué une note de 5 étoiles sur 5
  • 6 utilisateurs ont attribué une note de 4 étoiles sur 5
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Would recommend

Good value

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  • skim over deep math and you can still get value out of it.

    Some of the math is way advanced without too much detail.

    Achat vérifié : OuiÉtat : NeufVendu par : dunkin_bookstore

  • Good quality book

    Good quality new book, nice content

    Achat vérifié : OuiÉtat : NeufVendu par : dunkin_bookstore

  • Very good textbook

    I bought this item as it is the textbook of one of my classes. It has all the basics, and follows a constructive approach to reach all the stuff you need to know. So it follows an intuitive way to tell its topic. Every item in the book is supported with plenty of examples and there are plenty of challenging exercises to reinforce the learning process. I highly recommend this book to anyone who wants an introduction to statistics

  • Very good

    Worth it

    Achat vérifié : OuiÉtat : NeufVendu par : zhouguy-0

  • You can check your answers to all exercices

    It is a pretty good book. The best of all is that you could check your answers with a solution manual that it is available online for free. At first you feel like it is a little bit hard to read it but then you get used to it.