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  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik

Practical Statistical Methods

- A SAS Programming Approach
Af: Lakshmi Padgett Engelsk Paperback

Practical Statistical Methods

- A SAS Programming Approach
Af: Lakshmi Padgett Engelsk Paperback
Tjek vores konkurrenters priser

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems.





After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife.





With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

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Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems.





After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife.





With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 304
ISBN-13: 9780367382834
Indbinding: Paperback
Udgave:
ISBN-10: 0367382830
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 23 sep 2019
Længde: 0mm
Bredde: 156mm
Højde: 234mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 23 sep 2019
Forfatter(e): Lakshmi Padgett
Forfatter(e) Lakshmi Padgett

Kategori Sandsynlighedsregning og statistik

ISBN-13 9780367382834

Sprog Engelsk

Indbinding Paperback

Sider 304

Udgave

Længde 0mm

Bredde 156mm

Højde 234mm

Udg. Dato 23 sep 2019

Oplagsdato 23 sep 2019

Forlag Taylor & Francis Ltd

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