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Practical Statistical Methods Sas by Padgett Lakshmi (30 results)
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Paperback or Softback. Condition: New. Practical Statistical Methods: A SAS Programming Approach 0.95. Book.
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Practical Statistical Methods: A SAS Programming Approach
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367382830 ISBN 13: 9780367382834
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Practical Statistical Methods: A SAS Programming Approach
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Practical Statistical Methods : A SAS Programming Approach
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Practical Statistical Methods: A SAS Programming Approach
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Practical Statistical Methods : A SAS Programming Approach
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Practical Statistical Methods: A SAS Programming Approach
Published by Taylor & Francis Inc, 2011
ISBN 10: 1439812829 ISBN 13: 9781439812822
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Practical Statistical Methods: A SAS Programming Approach
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Practical Statistical Methods : A SAS Programming Approach
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Practical Statistical Methods: A SAS Programming Approach
Published by CRC Press 2011-05-20, 2011
ISBN 10: 1439812829 ISBN 13: 9781439812822
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Practical Statistical Methods: A SAS Programming Approach
Published by Taylor & Francis Ltd, 2019
ISBN 10: 0367382830 ISBN 13: 9780367382834
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketHardcover. Condition: Brand New. 1st edition. 290 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.
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Practical Statistical Methods: A SAS Programming Approach
Published by Taylor & Francis Inc, 2011
ISBN 10: 1439812829 ISBN 13: 9781439812822
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. Omitting mathematical details and complicated formulae, it provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. The author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She also focuses on 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.
