Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models - Quantitative Applications in the Social Sciences - Liao, Tim F. (Futing) - Grāmatas - SAGE Publications Inc - 9780803949997 - 1994. gada 16. augusts
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Liao, Tim F. (Futing)
Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models - Quantitative Applications in the Social Sciences

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What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measured in noncontinuous ways and, therefore, cannot be analyzed using a classical regression model, it becomes necessary to model the likelihood that an event will occur. This book explores these models first by reviewing each probability model and then by presenting a systematic way for interpreting the results from each.

96 pages, figs.tabs.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 1994. gada 16. augusts
ISBN13 9780803949997
Izdevēji SAGE Publications Inc
Lapas 96
Izmēri 216 × 142 × 6 mm   ·   152 g
Valoda Angļu  

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