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Author: International Statistical Programs Center (U.S.)
Publisher:
ISBN:
Category : Statisticians
Languages : en
Pages : 48
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Book Description
Author: International Statistical Programs Center (U.S.)
Publisher:
ISBN:
Category : Statisticians
Languages : en
Pages : 48
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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.
Author: International Statistical Programs Center (U.S.)
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 32
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Book Description
Population statistics and demographic analysis, sampling and survey methods, agricultural surveys and censuses, economic surveys and censuses, computer data systems.
Author: Jean-Michel Josselin
Publisher: Springer
ISBN: 3319528270
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
This book provides a self-contained presentation of the statistical tools required for evaluating public programs, as advocated by many governments, the World Bank, the European Union, and the Organization for Economic Cooperation and Development. After introducing the methodological framework of program evaluation, the first chapters are devoted to the collection, elementary description and multivariate analysis of data as well as the estimation of welfare changes. The book then successively presents the tools of ex-ante methods (financial analysis, budget planning, cost-benefit, cost-effectiveness and multi-criteria evaluation) and ex-post methods (benchmarking, experimental and quasi-experimental evaluation). The step-by-step approach and the systematic use of numerical illustrations equip readers to handle the statistics of program evaluation. It not only offers practitioners from public administrations, consultancy firms and nongovernmental organizations the basic tools and advanced techniques used in program assessment, it is also suitable for executive management training, upper undergraduate and graduate courses, as well as for self-study.
Author: Richard Kay
Publisher: John Wiley & Sons
ISBN: 1118702352
Category : Medical
Languages : en
Pages : 277
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Book Description
Written by a well-known lecturer and consultant to the pharmaceutical industry, this book focuses on the pharmaceutical non-statistician working within a very strict regulatory environment. Statistical Thinking for Clinical Trials in Drug Regulation presents the concepts and statistical thinking behind medical studies with a direct connection to the regulatory environment so that readers can be clear where the statistical methodology fits in with industry requirements. Pharmaceutical-related examples are used throughout to set the information in context. As a result, this book provides a detailed overview of the statistical aspects of the design, conduct, analysis and presentation of data from clinical trials within drug regulation. Statistical Thinking for Clinical Trials in Drug Regulation: Assists pharmaceutical personnel in communicating effectively with statisticians using statistical language Improves the ability to read and understand statistical methodology in papers and reports and to critically appraise that methodology Helps to understand the statistical aspects of the regulatory framework better quoting extensively from regulatory guidelines issued by the EMEA (European Medicines Evaluation Agency), ICH (International Committee on Harmonization and the FDA (Food and Drug Administration)
Author: Laura Langbein
Publisher: Routledge
ISBN: 1315497883
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
First Published in 2007. Routledge is an imprint of Taylor & Francis, an Informa company.
Author:
Publisher:
ISBN:
Category : Statistical services
Languages : en
Pages : 8
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Book Description
Author: Marvin F. Gordon
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 106
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Book Description
Author:
Publisher:
ISBN:
Category : Delegated legislation
Languages : en
Pages : 842
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Book Description
Author:
Publisher:
ISBN:
Category : America
Languages : en
Pages : 134
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Book Description
