Nonparametric statistical inference/ Jean Dickinson Gibbons
Material type:
TextPublication details: New York: McGraw-Hill, 1971Description: xiv, 306 pages; 22 cmSubject(s): DDC classification: - SA.12 G441
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| Books | ISI Library, Kolkata Textbook Library | 000SA.12 G441 (Browse shelf(Opens below)) | Available | 112511 | |||
| Books | ISI Library, Kolkata Reserved Collection | SA.12 G441 (Browse shelf(Opens below)) | Available | 81084 |
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| 925.19 G427 Glimpses of India's statistical heritage | 925.19 M214r Prasanta Chandra Mahalanobis a biography | 925.7 H158 J B S | SA.12 G441 Nonparametric statistical inference/ |
3rd rev and expanded ed by J D Gibbons and Subhabrata Chakraborti. 1992 (Statistics : textbooks and monographs; 131)
Includes bibliography and index
Introduction and Fundamentals -- Order Statistics, Quantiles, and Coverages -- Tests of Randomness -- Tests of Goodness of Fit -- One-Sample and Paired-Sample Procedures -- The General Two-Sample Problem -- Linear Rank Statistics and the General Two-Sample Problem -- Linear Rank Tests for the Location Problem -- Linear Rank Tests for the Scale Problem -- Tests of the Equality of k Independent Samples -- Measures of Association for Bivariate Samples -- Measures of Association in Multiple Classifications -- Asymptotic Relative Efficiency -- Analysis of Count Data
This textbook provides in-depth coverage of widely used nonparametric procedures, emphasizing practical application over theoretical proofs. It includes real-world examples, exercises, and step-by-step guidance on implementing these methods using statistical software like R, SAS, MINITAB, and StatXact. The book also features an appendix with essential tables for solving data-oriented problems.
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