Home

Biblio

A B C D E F G H I J K [L] M N O P Q R S T U V W X Y Z   [Show ALL]
statistical significance
Lin, M., H. C. Lucas, and G. Shmueli, "Too Big to Fail: Larger Samples and False Discoveries", Working Paper RHS 06-068: Smith School of Business, University of Maryland, 2009. Abstract
practical significance
Lin, M., H. C. Lucas, and G. Shmueli, "Too Big to Fail: Larger Samples and False Discoveries", Working Paper RHS 06-068: Smith School of Business, University of Maryland, 2009. Abstract
p-values
Lin, M., H. C. Lucas, and G. Shmueli, "Too Big to Fail: Larger Samples and False Discoveries", Working Paper RHS 06-068: Smith School of Business, University of Maryland, 2009. Abstract
large samples
Lin, M., H. C. Lucas, and G. Shmueli, "Too Big to Fail: Larger Samples and False Discoveries", Working Paper RHS 06-068: Smith School of Business, University of Maryland, 2009. Abstract

Contact

Galit Shmuéli
SRITNE Chaired Professor
of Data Analytics
Associate Professor of Statistics & Information Systems
Indian School of Business
Gachibowli, Hyderabad 500 032
India

galit.shmueli@gmail.com