Grant Schneider – författare
Visar alla böcker från författaren Grant Schneider. Handla med fri frakt och snabb leverans.
5 produkter
Primer for Data Analytics and Graduate Study in Statistics
Av Douglas Wolfe, Grant Schneider
Inbunden, 2020
931 kr
Lägg i varukorg
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 …
Primer for Data Analytics and Graduate Study in Statistics
Av Grant Schneider, Douglas Wolfe
E-bok, 2020
868 kr
Lägg i varukorg
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 …
Primer for Data Analytics and Graduate Study in Statistics
Av Douglas Wolfe, Grant Schneider
Häftad, 2021
659 kr
Lägg i varukorg
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 …
Intuitive Introductory Statistics
Av Douglas A. Wolfe, Grant Schneider
Häftad, 2017
1638 kr
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This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge …
Intuitive Introductory Statistics
Av Grant Schneider, Douglas A. Wolfe
E-bok, 2017
2111 kr
Lägg i varukorg
This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge …
