MARC details
| 000 -LEADER |
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| fixed length control field |
02252nam a22002297a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
CUTN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20201026163033.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
201001b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781138628038 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781138741515 |
| 041 ## - LANGUAGE CODE |
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| Language |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Edition number |
22 |
| Classification number |
519.5 |
| Item number |
DOB |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Dobson, Annette J. |
| 245 ## - TITLE STATEMENT |
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| Title |
An Introduction to Liner Models/ |
| Statement of responsibility, etc |
Annette J, Dobson & Adrian G. Barnett. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
CRC Press, |
| Date of publication, distribution, etc |
2008. |
| -- |
2018. 4th ed. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
307p.: |
| -- |
xv, 376p.: 4th ed. |
| Other physical details |
ill.; |
| Dimensions |
23.5 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
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| Title |
Texts in statistical science. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Title |
1. Introduction |
| -- |
2. Model fitting |
| -- |
3. Exponential family and generalized linear models |
| -- |
4. Estimation |
| -- |
5. Inference |
| -- |
6. Normal linear models |
| -- |
7. Binary variables and logistic regression |
| -- |
8.Nominal and ordinal logistic regression |
| -- |
9. Poisson regression and log-linear models |
| -- |
10. Survival analysis |
| -- |
11. Clustered and longitudinal data |
| -- |
12. Bayesian analysis |
| -- |
13. Markov chain mote Carlo methods |
| -- |
14. Example Bayesian analyses |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive framework for statistical modelling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis.<br/>Like its predecessor, this edition presents the theoretical background of generalized linear models (GLMs) before focusing on methods for analyzing particular kinds of data. It covers normal, Poisson, and binomial distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modelling, Bayesian models, and Markov chain Monte Carlo (MCMC) methods.<br/><br/>Using popular statistical software programs, this concise and accessible text illustrates practical approaches to estimation, model fitting, and model comparisons. It includes examples and exercises with complete data sets for nearly all the models covered. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Models lineals |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
General Books |
