Primer for Data Analytics and Graduate Study in Statistics
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“This text looks to bridge the gap between a general undergraduate education in a mathematically oriented field and a career-oriented graduate study in Statistics. In my opinion, the authors achieve this goal. … this text is a quality candidate for a primary book for an undergraduate course in Probability theory or a graduate course that introduces the basics of Statistical theory.” (Grant Innerst, MAA Reviews, July 18, 2021)
“The text provides the necessary framework for an undergraduate course for anyone who is interested in either exploring job opportunities in the data analytics field or in attending a graduate program in statistics or biostatistics.” (Bülent Karasözen, zbMATH 1454.62004, 2021)
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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. Les mer
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Detaljer
- Forlag
- Springer Nature Switzerland AG
- Innbinding
- Innbundet
- Språk
- Engelsk
- Sider
- 233
- ISBN
- 9783030474782
- Utgivelsesår
- 2020
- Format
- 24 x 16 cm
Anmeldelser
«
“This text looks to bridge the gap between a general undergraduate education in a mathematically oriented field and a career-oriented graduate study in Statistics. In my opinion, the authors achieve this goal. … this text is a quality candidate for a primary book for an undergraduate course in Probability theory or a graduate course that introduces the basics of Statistical theory.” (Grant Innerst, MAA Reviews, July 18, 2021)
“The text provides the necessary framework for an undergraduate course for anyone who is interested in either exploring job opportunities in the data analytics field or in attending a graduate program in statistics or biostatistics.” (Bülent Karasözen, zbMATH 1454.62004, 2021)
»