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Title:
Probability and statistics
Personal Author:
Publication Information:
Reading, Mass. : Addison-Wesley, 1997
ISBN:
9780201592788

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30000003772146 QA273 H38 1997 Open Access Book Book
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Summary

Summary

Probability and Statistics is a rigorous yet student-oriented introduction to the ideas and results of probability and mathematical statistics. Taking an interactive approach, this text involves the reader through the use of self-check questions, laboratory investigations, and research projects. This text incorporates more matrix algebra and vector calculus than its competitors, and provides fuller coverage of graphical methods in data analysis. Hastings invites students to be active learners, using the tools of their mathematical backgrounds to both analyze and present graphically the principles of probability and statistics.


Table of Contents

1 Sample Spaces And Random Variables
Introduction and Examples
Axioms of Probability and Their Consequences
Random Variables and Distributions
Conditional Probability
Independent Events
2 Discrete Probability
Combinatorial Probability
Discrete Distributions
Binomial Experiments
Poisson Random Phenomena
Expected Value and Variance
3 Continuous Probability
Densites and Distribution Functions
Expectation of Continuous Random Variables
Examples of Continuous Distribution
Multivariate Normal Distribution
4 Conditional Distributions and Independence
Independence of Random Variables
Conditional Distribution of Random Variables
Covariance and Correlation
More on the Multivariate Normal Distribution
5 Transformations of Random Variables
Distribution Function Technique
Multivariate Transformations
Generating Functions
Transformations of Normal Random Variables
T and F Distributions
6 Asymptotic Theory
Laws of Large Numbers
Central Limit Theorem
7 Introduction to Data Analysis
Random Samples and Summary Statistics
Graphical Data Analysis
Principles of Graph Construction
8 Point and Interval Estimation
Unbiased Estimation
Maximum Likelihood Estimation
Sufficient Statistics
Confidence Intervals for One-Sample Problems
Confidence Intervals for Two-Sample Problems
9 Hypothesis Testing
Basic Ideas of Hypothesis Testing
One Sample Location Tests
Tests for Dispersion
Two Sample Location Tests
Likelihood Ratio Tests
10 Regression and Correlation
Least Squares Estimation
Multiple Regression
Statistical Inference for Regression
Diagnostic Checking
Correlation
11 Experimental Design and Analysis Of Variance
Experimental Design and the Linear Model
One-Factor Analysis of Variance
Two-Factor Analysis of Variance
12 Goodness of Fit
Chi Square Tests
Goodness Fit to Distributions
Tests for Independence and Randomness
13 Statistical Tables: Minitab Primer
Basic MINITAB
File Handling
Getting Help
Ending a Session
Worksheet Information
Data Entry and Editing
Reformatting the Worksheet in Windows
Computed Data
Patterned Data
Data Samples from Distributions
Naming Columns
Producing Plots
Elementary Statistics and Hypothesis Tests
Regression
Analysis of Variance
Other Commands
14 Computer Projects Using Mathematica: Research Projects
Markov Chains
Reliability
Portfolio Optimization
Queuing
Time Series
Quality Control
Bayesian Statistics
More on Experimental Design
Chapter R: Linear Algebra Review
Answers to Selected Exercises