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Probability and Statistics for Engineers and Scientists by Raymond H. Myers, Ronald E. Walpole, Sharon L. Myers and Keying Ye (2001, Hardcover)

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About this product

Product Information

For junior/senior undergraduates studying engineering, science or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference that is motivated by interesting, relevant applications. Assumes a background in calculus; offers a unique balance of theory and methodology.

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0130415294
ISBN-13
9780130415295
eBay Product ID (ePID)
1970906

Product Key Features

Author
Keying Ye, Raymond H. Myers, Ronald E. Walpole, Sharon L. Myers
Publication Name
Probability and Statistics for Engineers and Scientists
Format
Hardcover
Language
English
Publication Year
2001
Type
Textbook
Number of Pages
730 Pages

Dimensions

Item Length
9.6in
Item Height
1.3in
Item Width
7.7in
Item Weight
46 Oz

Additional Product Features

Lc Classification Number
Ta540.P738 2002
Edition Number
7
Table of Content
Preface. 1. Introduction to Statistics and Data Analysis.Overview: Statistical Inference, Samples, Populations, and Experimental Design. The Role of Probability. Sampling Procedures; Collection of Data. Measures of Location: The Sample Mean. Measures of Variability. Discrete and Continuous Data. Statistical Modeling, Scientific Inspection, and Graphical Diagnostics. Graphical Methods and Data Description.2. Probability.Sample Space. Events. Counting Sample Points. Probability of an Event. Additive Rules. Conditional Probability. Multiplicative Rules. Bayes' Rule.3. Random Variables and Probability Distributions.Concept of a Random Variable. Discrete Probability Distributions. Continuous Probability Distributions. Joint Probability Distributions.4. Mathematical Expectation.Mean of a Random Variable. Variance and Covariance. Means and Variances of Linear Combinations of Random Variables. Chebyshev's Theorem.5. Some Discrete Probability Distributions.Discrete Uniform Distribution. Binomial and Multinomial Distributions. Hypergeometric Distribution. Negative Binomial and Geometric Distributions. Poisson Distribution and the Poisson Process.6. Some Continuous Probability Distributions.Continuous Uniform Distribution. Normal Distribution. Areas Under the Normal Curve. Applications of the Normal Distribution. Normal Approximation to the Binomial. Gamma and Exponential Distributions. Applications of the Exponential and Gamma Distributions. Chi-Squared Distribution. Lognormal Distribution. Weibull Distribution.7. Functions of Random Variables (Optional).Transformations of Variables. Moments and Moment-Generating Functions.8. Fundamental Sampling Distributions and Data Descriptions.Random Sampling. Some Important Statistics. Data Displays and Graphical Methods. Sampling Distributions. Sampling Distribution of Means. Sampling Distribution of S2. t-Distribution. F-Distribution.9. One- and Two-Sample Estimation Problems.Statistical Inference. Classical Methods of Estimation. Single Sample: Estimating the Mean. Standard Error of a Point Estimate. Prediction Interval. Tolerance Limits. Two Samples: Estimating the Difference Between Two Means. Paired Observations. Single Sample: Estimating a Proportion. Two Samples: Estimating the Difference Between Two Proportions. Single Sample: Estimating the Variance. Two Samples: Estimating the Ratio of Two Variances. Bayesian Methods of Estimation (Optional). Maximum Likelihood Estimation (Optional).10. One- and Two-Sample Tests of Hypotheses.Statistical Hypotheses: General Concepts. Testing a Statistical Hypothesis. One- and Two-Tailed Tests/ The Use of P -Values for Decision Making. Single Sample: Tests Concerning a Single Mean (Variance Known). Relationship to Confidence Interval Estimation. Single Sample: Tests on a Single Mean (Variance Unknown). Two Samples: Tests on Two Means. Choice of Sample Size for Testing Means. Graphical Methods for Comparing Means. One Sample: Test on a Single Proportion. Two Samples: Tests on Two Proportions. One- and Two-Sample Tests Concerning Variances. Goodness-of-Fit Test. Test for Independence (Categorical Data). Test for Homogeneity. Testing for Several Proportions. Two-Sample Case Study.11. Simple Linear Regression and Correlation.Introduction to Linear Regression. Simple Linear Regression. Least Squares and The Fitted Model. Properties of the Least Squares Estimators. Inferences Concerning the Regression Coefficients. Prediction. Choice of a Regression Model. Analysis-of-Variance Approach. Test for Linearity of Regression: Data with Repeated Observations
Copyright Date
2002
Target Audience
College Audience
Topic
Engineering (General), Probability & Statistics / General
Lccn
2001-036543
Dewey Decimal
519.5
Dewey Edition
23
Illustrated
Yes
Genre
Technology & Engineering, Mathematics

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item 1 Probability and Statistics for Engineers and - hardcover, 9780130415295, Walpole
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item 2 Probability and Statistics for Engineers and Scientists Hardcover
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4 out of 5 stars
by carlislemacJul 07, 2006
Very Good Text Book
This is a easily readable text book. Plenty of sample problems. I good guide to statistics for engineers.

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