Principles and procedures of statistics : a biometrical approach / Robert G. D. Steel, James H. Torrie.

By: Steel, Robert George Douglas, 1917-Contributor(s): Torrie, James Hiram, 1908- [joint author.]Material type: TextTextPublisher: New York : McGraw-Hill, c1980Edition: Second editionDescription: xxi, 633 pages : illustrationContent type: text Media type: unmediated Carrier type: volumeISBN: 0070609268 [hardbound]Subject(s): Mathematical statistics | Biomathematics
Contents:
Contents: Chapter 1 Introduction -- Chapter 2 Observations -- Chapter 3 Probability -- Chapter 4 Sampling from a normal distribution -- Chapter 5 Comparisons involving two sample means -- Chapter 6 Principles of experimental design -- Chapter 7 Analysis of variance I: the one-way classification -- Chapter 8 Multiple comparisons -- Chapter 9 Analysis of variance II: Multiway classifications -- Chapter 10 Linear regression -- Chapter 11 Linear correlation -- Chapter 12 Matrix notation -- Chapter 13 Linear regression in matrix notation -- Chapter 14 Multiple and partial regression and correlation -- Chapter 15 Analysis of variance III: factorial experiments -- Chapter 16 Analysis of variance IV: split-plot design and analysis -- Chapter 17 Analysis of covariance -- Chapter 18 Analysis of variance V : unequal subclass numbers -- Chapter 19 Curve fitting -- Chapter 20 Some uses of chi square -- Chapter 21 Enumeration data I: one-way classifications -- Chapter 22 Enumeration data II: contingency tables -- Chapter 23 Some discrete distributions -- Chapter 24 Nonparametric statistics -- Chapter 25 Sampling finite populations.
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Item type Current location Call number Status Date due Barcode
Book Book
519.5 St32 1980 (Browse shelf) Available 3UCBL000013206
Book Book
519.5 St32 1980 (Browse shelf) Available 3UCBL000013205

Includes index.

Contents: Chapter 1 Introduction -- Chapter 2 Observations -- Chapter 3 Probability -- Chapter 4 Sampling from a normal distribution -- Chapter 5 Comparisons involving two sample means -- Chapter 6 Principles of experimental design -- Chapter 7 Analysis of variance I: the one-way classification -- Chapter 8 Multiple comparisons -- Chapter 9 Analysis of variance II: Multiway classifications -- Chapter 10 Linear regression -- Chapter 11 Linear correlation -- Chapter 12 Matrix notation -- Chapter 13 Linear regression in matrix notation -- Chapter 14 Multiple and partial regression and correlation -- Chapter 15 Analysis of variance III: factorial experiments -- Chapter 16 Analysis of variance IV: split-plot design and analysis -- Chapter 17 Analysis of covariance -- Chapter 18 Analysis of variance V : unequal subclass numbers -- Chapter 19 Curve fitting -- Chapter 20 Some uses of chi square -- Chapter 21 Enumeration data I: one-way classifications -- Chapter 22 Enumeration data II: contingency tables -- Chapter 23 Some discrete distributions -- Chapter 24 Nonparametric statistics -- Chapter 25 Sampling finite populations.

Education : Math

Education : Math

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