Probability and Statistical Inference

ISBN-10: 0321584759

ISBN-13: 9780321584755

Edition: 8th 2010

Authors: Robert V. Hogg, Elliot Tanis

List price: $184.67
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Normal 0 false false false Written by two leading statisticians, this applied introduction to the mathematics of probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. Probability; Discrete Distributions; Continuous Distributions; Bivariate Distributions; Distributions of Functions of Random Variables; Estimation; Tests of Statistical Hypotheses; Nonparametric Methods; Bayesian Methods; Some Theory; Quality Improvement Through Statistical Methods For all readers interested in mathematical statistics.
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Book details

List price: $184.67
Edition: 8th
Copyright year: 2010
Publisher: Prentice Hall PTR
Publication date: 12/28/2008
Binding: Mixed Media
Pages: 648
Size: 8.00" wide x 10.00" long x 1.25" tall
Weight: 1.320

Basic Concepts
Properties of Probability
Methods of Enumeration
Conditional Probability
Independent Events
Bayes's Theorem
Discrete Distributions
Random Variables of the Discrete Type
Mathematical Expectation
The Mean, Variance, and Standard Deviation
Bernoulli Trials and the Binomial Distribution
The Moment-Generating Function
The Poisson Distribution
Continuous Distributions
Continuous-Type Data
Exploratory Data Analysis
Random Variables of the Continuous Type
The Uniform and Exponential Distributions
The Gamma and Chi-Square Distributions
The Normal Distribution
Additional Models
Bivariate Distributions
Distributions of Two Random Variables
The Correlation Coefficient
Conditional Distributions
The Bivariate Normal Distribution
Distributions of Functions of Random Variables
Functions of One Random Variable
Transformations of Two Random Variables
Several Independent Random Variables
The Moment-Generating Function Technique
Random Functions Associated with Normal Distributions
The Central Limit Theorem
Approximations for Discrete Distributions
Point Estimation
Confidence Intervals for Means
Confidence Intervals for Difference of Two Means
Confidence Intervals for Variances
Confidence Intervals for Proportions
Sample Size
A Simple Regression Problem
More Regression
Tests of Statistical Hypotheses
Tests about Proportions
Tests about One Mean
Tests of the Equality of Two Means
Tests for Variances
One-Factor Analysis of Variance
Two-Factor Analysis of Variance
Tests Concerning Regression and Correlation
Nonparametric Methods
Chi-Square Goodness of Fit Tests
Contingency Tables
Order Statistics
Distribution-Free Confidence Intervals for Percentiles
The Wilcoxon Tests
Run Test and Test for Randomness
Kolmogorov-Smirnov Goodness of Fit Test
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