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New Delhi
Sage
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Sage
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Interpreting probability models: Logit, probit and other generalised linear models
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Sage
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Typologies and taxonomies: An introduction to classification techniques
by Bailey Kenneth D
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Sage
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by Lewis-Beck Michaels
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Sage
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by Menard Scott
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Sage
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. 98
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Basic math for social scientists: Problems and solutions
by Hagle Timothy M
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New Delhi
Sage
1996
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Regression models: Censored, sample selected, or truncated data
by Breen Richard
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Sage
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. 80
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Tree models of similarity and association
by Corter James E
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Sage
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. 65
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Computational modeling
by Taber Charles S
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New Delhi
Sage
1996
. 95
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Lisrel approaches to interaction effects in multiple regression
by Jaccard James;Wan Choik
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Sage
1996
. 98
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Analyzing repeated surveys
by Firebaugh Glenn
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New Delhi
Sage
1997
. 72
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Odds ratios in the analysis of contigency tables
by Rudas Tamas
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New Delhi
Sage
1998
. 79
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94.
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Applied correspondence analysis: An introduction
by Clausen Sten-Erik
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Sage
1998
. 69
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95.
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Game theory topics: Incomplete information, repeated games and N-player games
by Fink Evelyn C
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Sage
1998
. 69
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96.
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Social choice: Theory and research
by Johnson Paul E
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Sage
1998
. 109
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Time series analysis: Regression techniques
by Ostrom Charles W
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New Delhi
Sage
1990
. 95
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The good research guide: For small-scale social research projects
by Denscombe Martyn
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Viva Books
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. 248
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How to research
by Blaxter Loraine;et.al
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New Delhi
Viva Books
1999
. 263
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100.
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Participatory rural appraisal and questionnaire survey (Comparative field experience and methodological innovations)
by Mukherjee Neela
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New Delhi
Concept Publishing Company
1995
. 163p
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1995
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