Description

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.

Primer for Data Analytics and Graduate Study in Statistics

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Hardback by Douglas Wolfe , Grant Schneider

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This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and... Read more

    Publisher: Springer Nature Switzerland AG
    Publication Date: 27/09/2020
    ISBN13: 9783030474782, 978-3030474782
    ISBN10: 303047478X

    Number of Pages: 233

    Non Fiction , Mathematics & Science , Education

    Description

    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.

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