By George Henry Dunteman,Moon-Ho R. Ho

Do you've information that isn't ordinarily allotted and do not know the way to research it utilizing generalized linear types (GLM)? starting with a dialogue of primary statistical modeling techniques in a a number of regression framework, the authors expand those options to GLM and demonstrate the similarity of varied regression types to GLM. each one method is illustrated utilizing genuine existence facts units. The booklet presents an obtainable yet thorough advent to GLM, exponential kin distribution, and greatest chance estimation; comprises dialogue on checking version adequacy and outline on the best way to use SAS to slot GLM; and describes the relationship among survival research and GLM. It is an perfect textual content for social technology researchers who would not have a robust statistical historical past, yet want to research extra complicated ideas having taken an introductory direction overlaying regression analysis.

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An Introduction to Generalized Linear Models: 145 (Quantitative Applications in the Social Sciences) by George Henry Dunteman,Moon-Ho R. Ho

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