Primer for Data Analytics and Graduate Study in Statistics

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Primer for Data Analytics and Graduate Study in Statistics. 1st ed. 2020

フォーマット:

電子ブック

責任表示:

by Douglas Wolfe, Grant Schneider

言語:

英語

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

形態:

X, 233 p. 13 illus., 12 illus. in color : online resource

著者名:

書誌ID:

IT00015351

ISBN:

9783030474799 [3030474798]

9783030474812 [303047481X]

子書誌情報

オンライン

https://doi.org/10.1007/978-3-030-47479-9

所蔵情報

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詳細

主題:	Big Data/Analytics; Data Structures and Information Theory; Probability Theory and Stochastic Processes; Statistical Theory and Methods
分類・件名:	DC23 : 519.5 LCSH : Statistics LCSH : Big data LCSH : Data structures (Computer science) LCSH : Probabilities FREE : Statistical Theory and Methods FREE : Big Data/Analytics FREE : Data Structures and Information Theory FREE : Probability Theory and Stochastic Processes
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
TTLL:	eng

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