Author: Shepherd College State Normal School
Publisher:
ISBN:
Category :
Languages : en
Pages : 12

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Author: Raymond Kilpela
Publisher:
ISBN:
Category : Labor turnover
Languages : en
Pages : 22

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 918

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Book Description
1867/68- include the Statistical report of the Secretary of State in continuation of the Annual report of the Commissioners of Statistics.

Author: Texas. Board of Insurance Commissioners
Publisher:
ISBN:
Category :
Languages : en
Pages : 544

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Author: Weber State College. Office of Institutional Studies
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 992

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Book Description

Author: Alan Agresti
Publisher: Springer Science & Business Media
ISBN: 1461436494
Category : Mathematics
Languages : en
Pages : 558

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Book Description
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.

Author: Texas. Department of Agriculture, Insurance, Statistics and History
Publisher:
ISBN:
Category :
Languages : en
Pages : 540

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Author: Texas. Department of Agriculture, Insurance, Statistics and History
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 540

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Book Description

Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617

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Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.