Probability & statistics for engineers & scientists

By: Walpole, Ronald EMaterial type: TextTextPublication details: New Delhi: Pearson Education, 2002Edition: 7th edDescription: xvi, 730 pages : illustrationsISBN: 9780130415295 ; 0130415294 ; 9780130984692; 0130984698 ; 9788178086132 ; 8178086131Subject(s): Engineering -- Statistical methods | ProbabilitiesDDC classification: 519.2
Contents:
2 Probability 22 -- 3 Random Variables and Probability Distributions 63 -- 4 Mathematical Expectation 88 -- 5 Some Discrete Probability Distributions 115 -- 6 Some Continuous Probability Distributions 142 -- 7 Functions of Random Variables (Optional) 177 -- 8 Fundamental Sampling Distributions and Data Descriptions 194 -- 9 One- and Two-Sample Estimation Problems 230 -- 10 One- and Two-Sample Tests of Hypotheses 284 -- 11 Simple Linear Regression and Correlation 350 -- 12 Multiple Linear Regression and Certain Nonlinear Regression Models 400 -- 13 One-Factor Experiments: General 461 -- 14 Factorial Experiments (Two or More Factors) 519 -- 15 2[superscript k] Factorial Experiments and Fractions 555 -- 16 Nonparametric Statistics 600 -- 17 Statistical Quality Control 625.
Summary: 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
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Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 519.2 PRO (Browse shelf(Opens below)) Available 009573
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Bibliography & index

2 Probability 22 --
3 Random Variables and Probability Distributions 63 --
4 Mathematical Expectation 88 --
5 Some Discrete Probability Distributions 115 --
6 Some Continuous Probability Distributions 142 --
7 Functions of Random Variables (Optional) 177 --
8 Fundamental Sampling Distributions and Data Descriptions 194 --
9 One- and Two-Sample Estimation Problems 230 --
10 One- and Two-Sample Tests of Hypotheses 284 --
11 Simple Linear Regression and Correlation 350 --
12 Multiple Linear Regression and Certain Nonlinear Regression Models 400 --
13 One-Factor Experiments: General 461 --
14 Factorial Experiments (Two or More Factors) 519 --
15 2[superscript k] Factorial Experiments and Fractions 555 --
16 Nonparametric Statistics 600 --
17 Statistical Quality Control 625.


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

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