000 -LEADER |
fixed length control field |
05982cam a2200445 a 4500 |
001 - CONTROL NUMBER |
EWU control number |
7361 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
BD-DhEWU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20180201154454.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
140129s2002 nyua g b 001 0 eng d |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2002027006 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
0471183865 (acidfree paper) |
|
International Standard Book Number |
9780471183860 |
035 ## - SYSTEM CONTROL NUMBER |
OCLC control number |
(OCoLC)48466746 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Transcribing agency |
DLC |
Modifying agency |
DLC |
-- |
BD-DhEWU |
Language of cataloging |
eng |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA276 |
Item number |
.L57 2002 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.5 |
Author mark and Year |
LIS 2002 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Little, Roderick J. A. |
9 (RLIN) |
3485 |
245 10 - TITLE STATEMENT |
Title |
Statistical analysis with missing data / |
Statement of responsibility, etc |
Roderick J.A. Little, Donald B. Rubin. |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Hoboken, N.J. : |
Name of publisher, distributor, etc |
Wiley, |
Date of publication, distribution, etc |
c2002. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xv, 381 p. : |
Other physical details |
ill. ; |
Dimensions |
25 cm. |
440 #0 - |
Title |
Wiley series in probability and statistics |
-- |
2352 |
500 ## - GENERAL NOTE |
General note |
Online version:<br/>Little, Roderick J.A.<br/>Statistical analysis with missing data.<br/>Hoboken, N.J. : Wiley, c2002<br/>(OCoLC)645898508 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references (p. 349-364) and indexes. |
505 ## - FORMATTED CONTENTS NOTE |
Title |
Table of contents |
Contents note |
The Problem of Missing Data --<br/>Missing-Data Patterns --<br/>Mechanisms That Lead to Missing Data --<br/>A Taxonomy of Missing-Data Methods --<br/>Missing Data in Experiments --<br/>The Exact Least Squares Solution with Complete Data --<br/>The Correct Least Squares Analysis with Missing Data --<br/>Filling in Least Squares Estimates --<br/>Bartlett's ANCOVA Method --<br/>Least Squares Estimates of Missing Values by ANCOVA Using Only Complete-Data Methods --<br/>Correct Least Squares Estimates of Standard Errors and One Degree of Freedom Sums of Squares --<br/>Correct Least Squares Sums of Squares with More Than One Degree of Freedom --<br/>Complete-Case and Available-Case Analysis, Including Weighting Methods --<br/>Complete-Case Analysis --<br/>Weighted Complete-Case Analysis --<br/>Available-Case Analysis --<br/>Single Imputation Methods --<br/>Imputing Means from a Predictive Distribution --<br/>Imputing Draws from a Predictive Distribution --<br/>Estimation of Imputation Uncertainty --<br/>Imputation Methods that Provide Valid Standard Errors from a Single Filled-in Data Set --<br/>Standard Errors for Imputed Data by Resampling --<br/>Introduction to Multiple Imputation --<br/>Comparison of Resampling Methods and Multiple Imputation --<br/>Likelihood-Based Approaches to the Analysis of Missing Data --<br/>Theory of Inference Based on the Likelihood Function --<br/>Review of Likelihood-Based Estimation for Complete Data --<br/>Likelihood-Based Inference with Incomplete Data --<br/>A Generally Flawed Alternative to Maximum Likelihood: Maximizing Over the Parameters and the Missing Data --<br/>Likelihood Theory for Coarsened Data. Factored likelihood methods, ignoring the missing-data mechanism --<br/>Bivariate normal data with one variable subject to nonresponse : ML estimation --<br/>Bivariate normal monotone data : small-sample inference --<br/>monotone data with more than two variables --<br/>Factorizations for special nonmonotone patterns --<br/>Maximum likelihood for general patterns of missing data : introduction and theory with ignorable nonresponse --<br/>Alternative computational strategies --<br/>Introduction to the EM algorithm --<br/>The E and M steps of EM --<br/>Theory of the EM algorithm --<br/>extensions of EM --<br/>Hybrid maximization methods --<br/>Large-sample inference based on maximum likelihood estimates --<br/>Standard errors based on the information matrix --<br/>Standard errors via methods that do not require computing and inverting an estimate of the observed information matrix --<br/>Bayes and multiple imputation --<br/>Bayesian iterative simulation methods --<br/>Multiple imputation --<br/>Multivariate normal examples, ignoring the missing-data mechanism --<br/>Inference for a mean vector and covariance matrix with missing data under normality --<br/>Estimation with a restricted covariance matrix --<br/>Multiple linear regression --<br/>A general repeated-measures model with missing data --<br/>Time series models --<br/>Robust estimation --<br/>Robust estimation for a univariate sample --<br/>Robust estimation of the mean and covariance matrix --<br/>Further extensions of the t model. Models for partially classified contingency tables, ignoring the missing-data mechanism --<br/>Factored likelihoods for monotone multinomial data --<br/>ML and Bayes estimation for multinomial samples with general patterns of missing data --<br/>Loglinear models for partially classified contingency tables --<br/>mixed normal and non-normal data with missing values, ignoring the missing-data mechanism --<br/>The general location model --<br/>The general location model with parameter constraints --<br/>Regression problems involving mixtures of continuous and categorical variables --<br/>Futher extensions of the general location model --<br/>Nonignorable missing-data models --<br/>Likelihood theory for nonignorable models --<br/>Models with known nonignorable missing-data mechanisms : grouped and rounded data --<br/>Normal selection models --<br/>Normal pattern-mixture models --<br/>Nonignorable models for normal repeated-measures data --<br/>Nonignorable models for categorical data. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Summary:<br/>Incorporating a large body of new work in the field, this work includes the applications of modern missing data methods to real data. It also examines the theoretical and technical extensions that take advantage of computational advances. |
526 ## - STUDY PROGRAM INFORMATION NOTE |
Program name |
Applied Statistics |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name |
Mathematical statistics. |
9 (RLIN) |
2299 |
|
Topical term or geographic name |
Missing observations (Statistics) |
9 (RLIN) |
2773 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Rubin, Donald B. |
9 (RLIN) |
3486 |
856 42 - ELECTRONIC LOCATION AND ACCESS |
Materials Specified |
Contributor biographical information |
Uniform Resource Identifier |
http://www.loc.gov/catdir/bios/wiley043/2002027006.html |
|
Materials Specified |
Publisher description |
Uniform Resource Identifier |
http://www.loc.gov/catdir/description/wiley036/2002027006.html |
|
Materials Specified |
Table of contents |
Uniform Resource Identifier |
http://www.loc.gov/catdir/toc/wiley023/2002027006.html |
|
Materials Specified |
WorldCat Details |
Uniform Resource Identifier |
http://www.worldcat.org/title/statistical-analysis-with-missing-data/oclc/48466746&referer=brief_results |
|
Materials Specified |
E-book Fulltext |
Uniform Resource Identifier |
http://lib.ewubd.edu/ebook/7361 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Text |
Koha issues (borrowed), all copies |
1 |