MARC details
000 -LEADER |
fixed length control field |
02259 a2200265 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20201230162825.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190218b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781439855676 |
Qualifying information |
hbk. |
040 ## - CATALOGING SOURCE |
Transcribing agency |
SPAB |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
512.6202855133 |
Item number |
BIL-A |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Bilder, Christopher R. |
9 (RLIN) |
15558 |
245 ## - TITLE STATEMENT |
Title |
Analysis of categorical data with R. |
Statement of responsibility, etc |
Christopher R. Bilder and Thomas M. Loughin |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
CRC Press, |
Date of publication, distribution, etc |
2015 |
Place of publication, distribution, etc |
Boca Raton |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xii, 533p. |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Texts in Statistical Science. |
9 (RLIN) |
15559 |
505 ## - FORMATTED CONTENTS NOTE |
Formatted contents note |
1. Analyzing a binary response, part 1: introduction --<br/>2. Analyzing a binary response, part 2: regression models --<br/>3. Analyzing a multicategory response --<br/>4. Analyzing a count response --<br/>5. Model selection and evaluation --<br/>6. Additional topics --<br/>A. An introduction to R --<br/>B. Likelihood methods. |
520 ## - SUMMARY, ETC. |
Summary, etc |
We live in a categorical world! From a positive or negative disease diagnosis to choosing all items that apply in a survey, outcomes are frequently organized into categories so that people can more easily make sense of them. However, analyzing data from categorical responses requires specialized techniques beyond those learned in a first or second course in Statistics. We use R not only as a data analysis method but also as a learning tool. For example, we use data simulation to help readers understand the underlying assumptions of a procedure and then to evaluate that procedure's performance. We also provide numerous graphical demonstrations of the features and properties of various analysis methods. The focus of this book is on the analysis of data, rather than on the mathematical development of methods. We o er numerous examples from a wide rage of disciplines medicine, psychology, sports, ecology, and others and provide extensive R code and output as we work through the examples. We give detailed advice and guidelines regarding which procedures to use and why to use them. While we treat likelihood methods as a tool, they are not used blindly. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
AR/PL |
9 (RLIN) |
11385 |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) |
Topical term or geographic name as entry element |
R (Computer program language). |
9 (RLIN) |
15525 |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) |
Topical term or geographic name as entry element |
Categories (Mathematics)-Data processing. |
9 (RLIN) |
15560 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Loughin, Thomas M. |
9 (RLIN) |
15561 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Text/Reserve Book |