---

＜電子ブック＞
Primer for Data Analytics and Graduate Study in Statistics / by Douglas Wolfe, Grant Schneider

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
大きさ	X, 233 p. 13 illus., 12 illus. in color : online resource
著者標目	*Wolfe, Douglas author Schneider, Grant author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Quantitative research LCSH:Data structures (Computer science) LCSH:Information theory LCSH:Probabilities FREE:Statistical Theory and Methods FREE:Data Analysis and Big Data FREE:Data Structures and Information Theory FREE:Probability Theory
一般注記	This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas HTTP:URL=https://doi.org/10.1007/978-3-030-47479-9

 類似資料