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Brief Course in Mathematical Statistics

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ISBN-10: 0131751395

ISBN-13: 9780131751392

Edition: 2008

Authors: Elliot Tanis, Robert Hogg

List price: $146.65
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Description:

This innovative new introduction to Mathematical Statistics covers the important concept of estimation at a point much earlier (Chapter 2) than others on this subject. Applies mathematical statistics to topics such as insurance, Pap smear tests, estimating the number of whales in an ocean, fitting models, filling 12 ounce containers, environmental issues, and results in certain sporting events. Includes summaries of the most important aspects of discrete distributions, continuous distributions, confidence intervals, and tests of hypotheses. Provides computer applications for data analysis and also for theoretical solutions such as simulation and bootstrapping. A comprehensive reference for…    
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Book details

List price: $146.65
Copyright year: 2008
Publisher: Pearson Education
Publication date: 12/30/2006
Binding: Paperback
Pages: 368
Size: 8.00" wide x 10.00" long x 0.70" tall
Weight: 2.112

Preface
Probability
Basic Concepts
Methods of Enumeration
Conditional Probability
Independent Events
Bayes's Theorem Chapter One Comments
Discrete Distributions
Discrete Probability Distributions
Expectations
Special Discrete Distributions
Estimation
Linear Functions of Independent Random Variables
Multivariate Discrete Distributions Chapter Two Comments
Continuous Distributions
Descriptive Statistics and EDA
Continuous Probability Distributions
Special Continuous Distributions
The Normal Distribution
Estimation in the Continuous Case
The Central Limit Theorem
Approximations for Discrete Distributions Chapter Three Comemnts
Applications of Statistical Inference
Summary of Necessary Theoretical Results
Confidence Intervals Using X2 F,and T
Confidence Intervals and Tests of Hypotheses
Basic Tests Concerning One Parameter
Tests of the Equality of Two Parameters
Simple Linear Regression
More on Linear Regression
One-Factor Analysis of Variance
Distribution-Free Confidence and Tolerance Intervals
Chi-Square Goodness of Fit Tests
Contingency Tables Chapter Four Comments
Computer Oriented Techniques
Computation of Statistics
Computer Algebra Systems
Simulation
Resampling Chapter Five Comments
Some Sampling Distribution Theory
Moment-Generation Function Technique
M.G.F of Linear Functions
Limiting Moment-Generating Functions
Use of Order Statistics in Non-regular Cases Chapter Six Comments