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A Brief Course in Mathematical Statistics (HARDCOVER COPY)
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- Buy It NowA Brief Course in Mathematical Statistics (HARDCOVER COPY)
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eBay item number:123974990317
Item specifics
- Condition
- Subject
- Statistics
- Field of Study
- Mathematics
- ISBN
- 9780131751392
- EAN
- 9780131751392
- Publication Year
- 2006
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Brief Course in Mathematical Statistics
- Item Height
- 0.7in
- Item Length
- 10in
- Publisher
- Pearson Education
- Item Width
- 8in
- Item Weight
- 26.4 Oz
- Number of Pages
- 368 Pages
About this product
Product Information
For a one-semester course in Mathematical Statistics. This innovative new introduction to Mathematical Statistics covers the important concept of estimation at a point much earlier than other texts (Chapter 2). Thought-provoking pedagogical aids help students test their understanding and relate concepts to everyday life. Ideal for courses that offer a little less probability than usual, this book requires one year of calculus as a prerequisite.
Product Identifiers
Publisher
Pearson Education
ISBN-10
0131751395
ISBN-13
9780131751392
eBay Product ID (ePID)
57144304
Product Key Features
Publication Name
Brief Course in Mathematical Statistics
Format
Trade Paperback
Language
English
Publication Year
2006
Type
Textbook
Number of Pages
368 Pages
Dimensions
Item Length
10in
Item Height
0.7in
Item Width
8in
Item Weight
26.4 Oz
Additional Product Features
Lc Classification Number
Qa276.12.T359 2008
Reviews
"The authors have years of experience analyzing real data, have collected excellent examples to illustrate statistical concepts and anomalies, and are proven writers in the discipline." Professor Charles Sommer, SUNY College at Brockport "The authors have done a wonderful job in writing this book...I must congratulate them for doing a great job and helping in the development of the subject of Statistics." Professor M.L. Aggarwal, The University of Memphis, "The authors have years of experience analyzing real data, have collected excellent examples to illustrate statistical concepts and anomalies, and are proven writers in the discipline." Professor Charles Sommer, SUNY College at Brockport "The authors have done a wonderful job in writing this book...I must congratulate them for doing a great job and helping in the development of the subject of Statistics." Professor M.L. Aggarwal, The University of Memphis, "The authors have years of experience analyzing real data, have collected excellent examples to illustrate statistical concepts and anomalies, and are proven writers in the discipline." Professor Charles Sommer, SUNY College at Brockport "The authors have done a wonderful job in writing this book...I must congratulate them for doing a great job and helping in the development of the subject of Statistics." Professor M.L. Aggarwal, The University of Memphis
Table of Content
Preface 1. Probability 1.1 Basic Concepts 1.2 Methods of Enumeration 1.3 Conditional Probability 1.4 Independent Events 1.5 Bayes's Theorem Chapter One Comments 2. Discrete Distributions 2.1 Discrete Probability Distributions 2.2 Expectations 2.3 Special Discrete Distributions 2.4 Estimation 2.5 Linear Functions of Independent Random Variables 2.6 Multivariate Discrete Distributions Chapter Two Comments 3. Continuous Distributions 3.1 Descriptive Statistics and EDA 3.2 Continuous Probability Distributions 3.3 Special Continuous Distributions 3.4 The Normal Distribution 3.5 Estimation in the Continuous Case 3.6 The Central Limit Theorem 3.7 Approximations for Discrete Distributions Chapter Three Comemnts 4. Applications of Statistical Inference 4.1 Summary of Necessary Theoretical Results 4.2 Confidence Intervals Using X2 F,and T 4.3 Confidence Intervals and Tests of Hypotheses 4.4 Basic Tests Concerning One Parameter 4.5 Tests of the Equality of Two Parameters 4.6 Simple Linear Regression 4.7 More on Linear Regression 4.8 One-Factor Analysis of Variance 4.9 Distribution-Free Confidence and Tolerance Intervals 4.10 Chi-Square Goodness of Fit Tests 4.11 Contingency Tables Chapter Four Comments 5. Computer Oriented Techniques 5.1 Computation of Statistics 5.2 Computer Algebra Systems 5.3 Simulation 5.4 Resampling Chapter Five Comments 6. Some Sampling Distribution Theory 6.1 Moment-Generation Function Technique 6.2 M.G.F of Linear Functions 6.3 Limiting Moment-Generating Functions 6.4 Use of Order Statistics in Non-regular Cases Chapter Six Comments
Copyright Date
2008
Topic
Probability & Statistics / General
Lccn
2006-031389
Dewey Decimal
519.5
Intended Audience
College Audience
Dewey Edition
22
Illustrated
Yes
Genre
Mathematics
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