A practitioner's guide to resampling for data analysis, data mining, and modeling / (Record no. 32803)
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| fixed length control field | 05167cam a22003374a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 16936209 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210921105016.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 110826s2012 flua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2011030498 |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 015804580 |
| Source | Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781439855508 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)ocn651914252 |
| 038 ## - RECORD CONTENT LICENSOR | |
| Staff Name | khadija |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Transcribing agency | DLC |
| Modifying agency | YDX |
| -- | BTCTA |
| -- | YDXCP |
| -- | BWX |
| -- | Z@L |
| -- | CDX |
| -- | UKMGB |
| -- | DLC |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA278.8 |
| Item number | .G64 2012 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.54 |
| Edition number | 23 |
| Author Mark | GOO |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Good, Phillip I. |
| 9 (RLIN) | 82556 |
| 245 12 - TITLE STATEMENT | |
| Title | A practitioner's guide to resampling for data analysis, data mining, and modeling / |
| Statement of responsibility, etc. | Phillip I. Good. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Boca Raton, FL : |
| Name of publisher, distributor, etc. | CRC Press, |
| Date of publication, distribution, etc. | c2012. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 214 p. : |
| Other physical details | ill. ; |
| Dimensions | 25 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references (p. 193-209) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Wide Range of Applications: Resampling Methods ; Fields of Application -- 2. Estimation and the Bootstrap: Precision of an Estimate ; Confidence Intervals ; Improved Confidence Intervals ; Estimating Bias ; Determining Sample Size -- 3. Software for Use with the Bootstrap and Permutation Tests : AFNI ; Blossom Statistical Analysis Package ; Eviews ; HaploView ; MatLab® ; NCSS ; PAUP ; R ; SAS ; S-Plus ; SPSS Exact Tests ; Stata ; Statistical Calculator ; StatXact ; Testimate -- 4. Comparing Two Populations: A Distribution-Free Test ; Some Statistical Considerations ; Computing the p-Value ; Other Two-Sample Comparisons ; Two-Sided Test ; Rank Tests ; Matched Pairs ; R Code ; Stata ; Test for Nonequivalence ; Underlying Assumptions ; Comparing Variances -- 5. Multiple Variables: Single-Valued Test Statistic ; Combining Univariate Tests -- 6. Experimental Design and Analysis: Separating Signal from Noise ; k-Sample Comparison ; Multiple Factors ; Eliminating the Effects of Multiple Covariates ; Crossover Designs ; Which Sets of Labels Should We Rearrange? ; Determining Sample Size ; Missing Combinations -- 7. Categorical Data: Fisher's Exact Test. ; Odds Ratio.4 ; Unordered r x c Contingency Tables ; Ordered Statistical Tables ; Multidimensional Arrays -- 8. Multiple Hypotheses: Controlling the Family-Wise Error Rate ; Controlling the False Discovery Rate ; Software for Performing Multiple Simultaneous Tests ; Testing for Trend -- 9. Model Building: Regression Models ; Applying the Permutation Test ; Applying the Bootstrap ; Prediction Error ; Validation -- 10. Classification: Cluster Analysis ; Classification ; Decision Trees ; Decision Trees vs. Regression ; Which Decision Tree Algorithm Is Best for Your Application? ; Reducing the Rate of Misclassification ; Comparison of Classification Tree Algorithms ; Validation vs. Cross-Validation --11. Restricted Permutations: Quasi Independence ; Complete Factorials ; Synchronized Permutations ; Model Validation -- Appendix A: Basic Concepts in Statistics: Additive vs. Multiplicative Models ; Central Values ; Combinations and Rearrangements ; Dispersion ; Frequency Distribution and Percentiles ; Linear vs. Nonlinear Regression ; Regression Methods -- Appendix B: Proof of Theorems. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Distribution-free resampling methods--permutation tests, decision trees, and the bootstrap--are used today in virtually every research area. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods. Highlights Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text Access to APL, MATLAB, and SC code for many of the routines is provided on the author's website The text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data, multiple hypotheses, and model building Statistics practitioners will find the methods described in the text easy to learn and to apply in a broad range of subject areas from A for Accounting, Agriculture, Anthropology, Aquatic science, Archaeology, Astronomy, and Atmospheric science to V for Virology and Vocational Guidance, and Z for Zoology. Practitioners and research workers and in the biomedical, engineering and social sciences, as well as advanced students in biology, business, dentistry, medicine, psychology, public health, sociology, and statistics will find an easily-grasped guide to estimation, testing hypotheses and model building"--Back cover. |
| 563 ## - BINDING INFORMATION | |
| Binding note | hardcover |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Resampling (Statistics) |
| 9 (RLIN) | 82557 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | General Stacks | 11/25/2015 | 519.54 GOO | SMME-1763 | 03/29/2018 | 11/25/2015 | Book | Rack,44-Shelf,2 |