Therefore, this research is an early attempt to introduce a proper method for manufacturers to achieve their goal starting from parameters selection and then optimization to control the belt line moulding production process. We apply regression analysis to make parameters selection and then used the ...
Greenley, Gordon E. (1999), "An introduction to hierarchical moderated regression analysis", in Quantitative Methods in Marketing (second edition), Graham J. Hooley and Michael K. Hussey, eds. International Thomson Business Press.An introduction to hierarchical moderated regression analysis - Green...
Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." — Short Book Reviews "Of great interest to potential readers is the variety of fields that are represented in th...
The revised third edition has been updated for Stata 14, and it includes a new section on predictive margins and marginal effects, which demonstrates how to obtain and visualize marginal predictions and marginal effects using the margins and marginsplot commands after survival regression models. Surv...
applied regression analysis课的textbook,结果prof就直接拿着stanford learning上两个作者公开课的 slide直接用了。。挺适合自学的 评分☆☆☆ 简明清晰,对于常用的方法基本都有涉猎。对读者的知识背景没太多要求,所以也很难深入。差不多是当成复习+加深印象。本来是想读elements那本,可是线性代数忘光了,看着矩阵证明...
Regression Classification Resampling methods Linear model selection and regularization Moving beyond linearity Tree-based methods Support vector machines Deep learning Survival analysis Unsupervised learning Multiple testing Authors Gareth James John H. Harland Dean ...
Buy An Introduction to R for Spatial Analysis and Mapping (9781526428493) (9781526428509): NHBS - Chris Brunsdon, Lex Comber, Sage Publications
7.1 Introduction In this chapter, we will introduce regression analysis, one of the most important techniques in a statistician’s toolbox. Our focus will be on assessing the relationship between two quantitative variables (say, August mean temperature and year, as in Example 7.1). We will tap...
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Classification and Regression Trees (1984) Domingos, P., 1999. MetaCost: A general method for making classifiers cost-sensitive. In: Proc. Fifth ACM SIGKDD... J.P. Egan Signal detection theory and ROC analysis (1975) Fawcett, T., 2001. Using rule sets to maximize ROC performance. In: ...