MARC details
| 000 -LEADER |
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| fixed length control field |
02065nam a22002297a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191119b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781107185821 |
| 037 ## - SOURCE OF ACQUISITION |
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| Terms of availability |
Purchased |
| Note |
Professional Book Centre,Ernakulam |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
300.72 |
| Item number |
WAR/MA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Ward, Michael D. |
| 245 ## - TITLE STATEMENT |
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| Title |
MAXIMUM LIKELIHOOD FOR SOCIAL SCIENCE : |
| Remainder of title |
Strategies for Analysis |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc. |
New York |
| Name of publisher, distributor, etc. |
Cambridge University Press |
| Date of publication, distribution, etc. |
2018/01/01 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Size of unit |
298 |
| 500 ## - GENERAL NOTE |
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| General note |
"This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Part 1 Concept, Theory, and Implementation<br/>1. Introduction to Maximum Likelihood<br/>2. Theory and Properties of maximum Likelihood Estimators<br/>3. Maximum Likelihood for Binary Outcomes<br/>4. Implementing MLE<br/>5. Model Evaluation and Interpretation<br/>6. Inference and Interpretation<br/>7. The Generalized Liner Model<br/>8. Ordered Categorical Variable Models<br/>9. Models For Nominal Data<br/>10. Strategies for Analyzing Count Data<br/>11.Strategies for Temporal Dependence Models<br/>12. Strategies for Missing Data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Social sciences-Research. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Ahlguist, John S. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Reference |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |