Shean-Tsong Chiu, "Regression analysis: Theory, methods, and applications," 1991, vol. 33, pp. 479-480, Taylor & Francis Group.Sen A, Muni S. 1990. Regression analysis: Theory, methods, and applica- tions. New
Regression analysis, theory, methods and applications Sen, A. and Srivastava, M. Springer, Berlin (1990), 347 pp, ISBN3-540-972 STATISTICAL SOFTWARE NEWSLETTER 109 The first chapter provides the basic tools such as vectors spaces, polynomials and the Jordan canonical form. The second chapter co...
Moderated regression analysis is generally accepted as the most appropriate way to asses the viability of contingency models. This paper discusses some problems associated with the application of this technique. If interval data are used main effects may not be interpreted. If ordinal data are used ...
PUNTANEN, SimoSTYAN, George P. H.ISOTALO, JarkkoREGRESSION analysisNONFICTIONNo abstract is available for this article.doi:10.1111/insr.12051_9Shuangzhe LiuFaculty of EducationJohn Wiley & Sons, Ltd.International Statistical Review
Regression Analysis Theory, Methods, and Applications A Sen,M Srivastava - Springer New York 被引量: 15发表: 1990年 Biased Estimation One purpose of variable selection is to reduce multicollinearity, although, as we noted in Section 11.2, reducing the number of independent variables can lead to ...
[26]. While regression analysis methods identify 'the effect of causes', QCA is especially valid for explaining the 'cause of effects' [66]. Using a traditional regression can cause overestimation or underestimation of the coefficients and, in this way, not considering the heterogeneity of the ...
This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates. 我来说两句 短评 ··· 热门 还没人写过短评呢 我要写书评 A Distribution-free Theory of...
Additionally, and in order to assess the relative improvement in the proportion of variability accounted for by one model over the other, we calculated the R² based on the likelihood ratio G² test statistic that can be regarded as analogous to comparing various regression models' R²s (...
Regression models designed to control for variables that may mask the causal effects of interest;Instrumental variables methods for the analysis of real and natural experimentsDifferences-in-differences-type strategies that use repeated observations to control for unobserved omitted factors. 来解决我们的理...
Introduction: beyond rote applications of regression analysis The end is near. Time now for a new beginning! This essay elaborates on the perspective that the current symmetric-based dominant logic in research in the management sub-disciplines is less informative and less theoretically useful than th...