Introduction to Probability and Statistics Principles and Applications for Engineering and the Computing Sciences

ISBN-10: 007246836X
ISBN-13: 9780072468366
Edition: 4th 2003 (Revised)
List price: $305.67 Buy it from $21.00 Rent it from $29.97
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Book details

List price: $305.67
Edition: 4th
Copyright year: 2003
Publisher: McGraw-Hill Education
Publication date: 9/30/2002
Binding: Hardcover
Pages: 816
Size: 6.50" wide x 9.75" long x 1.50" tall
Weight: 2.882
Language: English

Introduction to Probability and Counting
Interpreting Probabilities
Sample Spaces and Events
Permutations and Combinations
Some Probability Laws
Axioms of Probability
Conditional Probability
Independence and the Multiplication Rule
Bayes' Theorem
Discrete Distributions
Random Variables
Discrete Probablility Densities
Expectation and Distribution Parameters
Geometric Distribution and the Moment Generating Function
Binomial Distribution
Negative Binomial Distribution
Hypergeometric Distribution
Poisson Distribution
Continuous Distributions
Continuous Densities
Expectation and Distribution Parameters
Gamma Distribution
Normal Distribution
Normal Probability Rule and Chebyshev's Inequality
Normal Approximation to the Binomial Distribution
Weibull Distribution and Reliability
Transformation of Variables
Simulating a Continuous Distribution
Joint Distributions
Joint Densities and Independence
Expectation and Covariance
Correlation
Conditional Densities and Regression
Transformation of Variables
Descriptive Statistics
Random Sampling
Picturing the Distribution
Sample Statistics
Boxplots
Estimation
Point Estimation
The Method of Moments and Maximum Likelihood
Functions of Random Variables--Distribution of X
Interval Estimation and the Central Limit Theorem
Inferences on the Mean and Variance of a Distribution
Interval Estimation of Variability
Estimating the Mean and the Student-t Distribution
Hypothesis Testing
Significance Testing
Hypothesis and Significance Tests on the Mean
Hypothesis Tests
Alternative Nonparametric Methods
Inferences on Proportions
Estimating Proportions
Testing Hypothesis on a Proportion
Comparing Two Proportions: Estimation
Coparing Two Proportions: Hypothesis Testing
Comparing Two Means and Two Variances
Point Estimation
Comparing Variances: The F Distribution
Comparing Means: Variances Equal (Pooled Test)
Comparing Means: Variances Unequal
Compairing Means: Paried Data
Alternative Nonparametric Methods
A Note on Technology
Sample Linear Regression and Correlation
Model and Parameter Estimation
Properties of Least-Squares Estimators
Confidence Interval Estimation and Hypothesis Testing
Repeated Measurements and Lack of Fit
Residual Analysis
Correlation
Multiple Linear Regression Models
Least-Squares Procedures for Model Fitting
A Matrix Approach to Least Squares
Properties of the Least-Squares Estimators
Interval Estimation
Testing Hypotheses about Model Parameters
Use of Indicator or "Dummy" Variables
Criteria for Variable Selection
Model Transformation and Concluding Remarks
Analysis of Variance
One-Way Classification Fixed-Effects Model
Comparing Variances
Pairwise Comparison
Testing Contrasts
Randomized Complete Block Design
Latin Squares
Random-Effects Models
Design Models in Matrix Form
Alternative Nonparametric Methods
Factorial Experiments
Two-Factor Analysis of Variance
Extension to Three Factors
Random and Mixed Model Factorial Experiments
2^k Factorial Experiments
2^k Factorial Experiments in an Incomplete Block Design
Fractional Factorial Experiments
Categorical Data
Multinomial Distribution
Chi-Squared Goodness of Fit Tests
Testing for Independence
Comparing Proportions

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