Analysis of categorical data with R / (Record no. 73621)

MARC details
000 -LEADER
fixed length control field 04726cam a2200397 i 4500
001 - CONTROL NUMBER
control field 0000066603
003 - CONTROL NUMBER IDENTIFIER
control field 0001
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150519t20152015flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439855676 (hardback)
International Standard Book Number 1439855676 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 512.6202855133
Edition number 23
084 ## - OTHER CLASSIFICATION NUMBER
Classification number 512.6202855133
Item number BIL-A
Number source bisacsh
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bilder, Christopher R.,
Relator term author.
245 10 - TITLE STATEMENT
Title Analysis of categorical data with R /
Medium [Book] /
Statement of responsibility, etc. Christopher R. Bilder, University of Nebraska-Lincoln, Lincoln, Nebraska, USA, Thomas M. Loughin, Simon Fraser University, Surrey, British Columbia, Canada.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 533 pages :
Other physical details illustrations ;
Dimensions 26 cm.
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC texts in statistical science
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 o er this book to help students and researchers learn how to properly analyze categorical data. Unlike other texts on similar topics, our book is a modern account using the vastly popular R software. 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. For example, we write out likelihood functions and explain how they are maximized. We describe where Wald, likelihood ratio, and score procedures come from. However, except in Appendix B, where we give a general introduction to likelihood methods, we do not frequently emphasize calculus or carry out mathematical analysis in the text. The use of calculus is mostly from a conceptual focus, rather than a mathematical one"--
Assigning source Provided by publisher.
521 ## - TARGET AUDIENCE NOTE
Target audience note All.
521 ## - TARGET AUDIENCE NOTE
Target audience note All.
521 ## - TARGET AUDIENCE NOTE
Target audience note All.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Categories (Mathematics)
General subdivision Data processing.
Topical term or geographic name entry element R (Computer program language)
Topical term or geographic name entry element MATHEMATICS / Probability & Statistics / General.
Source of heading or term bisacsh.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multiprocessors.
Topical term or geographic name entry element Parallel processing (Electronic computers)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science--
Topical term or geographic name entry element Computer Science--
Topical term or geographic name entry element Artificial intelligence techniques
General subdivision Robust video forgery detection.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Loughin, Thomas M.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hwu, Wen-mei.
852 ## - LOCATION
Piece designation 50934
-- 7543.69
Classification part 512.6202855133 BIL-A
-- Multi-Line Books Lahore CUI Lahore
Sublocation or collection Ground Floor
Former shelving location Books
Copy number 1
Piece physical condition 1-New
Location JZL-CUI
852 ## - LOCATION
Piece designation 51579
-- 644.86
Classification part 004.35 KIR-P
-- Pak Book Corporation
Sublocation or collection Ground Floor
Former shelving location Books
Copy number 1
Piece physical condition 2-Good
Location JZL-CUI
852 ## - LOCATION
Piece designation 10001TP0010175
-- 0.00
Classification part T 004 SAD-R 10175
Sublocation or collection 2nd Floor
Former shelving location Books
Copy number 1
Piece physical condition 1-New
Location JZL-CUI
Holdings
Date last seen Total checkouts Full call number Shelving location Price effective from Koha item type Lost status Damaged status Not for loan Withdrawn status Home library Barcode Current library Date acquired
09/12/2023   512.6202855133 BIL-A Ground Floor 09/12/2023 Books         Junaid Zaidi Library, COMSATS University Islamabad 50934 Junaid Zaidi Library, COMSATS University Islamabad 09/12/2023
09/12/2023   004.35 KIR-P Ground Floor 09/12/2023 Books         Junaid Zaidi Library, COMSATS University Islamabad 51579 Junaid Zaidi Library, COMSATS University Islamabad 09/12/2023