Logistic Regression: Binary & Multinomial: 2016 Edition (Statistical Associates "Blue Book" Series Book 2)
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Logistic and Multinomial Regressions by Example: Hands on approach using R
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Logit and Probit: Ordered and Multinomial Models (Quantitative Applications in the Social Sciences)
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Multinomial Probit: The Theory and Its Application to Demand Forecasting (Economic Theory, Econometrics, and Mathematical Economics)
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Handbook of Regression Modeling in People Analytics: With Examples in R and Python
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Multinomial Distribution Examples and Explanations
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Introduction to Statistics with SPSS for Social Science
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Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons (BestMasters)
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Multinomial: Webster's Timeline History, 1818 - 2007
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Best Practices in Logistic Regression
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