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Handbook of Regression Analysis and Modeling: Application - Daryl S. Paulson, Paulson S. Paulson, S. Paulson Daryl
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Daryl S. Paulson, Paulson S. Paulson, S. Paulson Daryl:

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ISBN: 9781574446104

ID: 9781574446104

Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mimics real life. Relying heavily on computer software, he includes exploratory data analysis to evaluate the fit of the model to the actual data. Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mimics real life. Relying heavily on computer software, he includes exploratory data analysis to evaluate the fit of the model to the actual data. The book presents a well-defined procedure for adding or subtracting independent variables to the model variable and covers how to apply statistical forecasting methods to the serially correlated data characteristically found in clinical and pharmaceutical settings. The stand alone chapters allow you to pick and choose which chapter to read first and home in on the information that fits your immediate needs. Each example is presented in computer software format. The author uses MINITAB in the book but supplies instructions for SAS and SPSSX, making the book easily adaptable to individual situations. Although written with the assumption that the reader has knowledge of basic and matrix algebra, the book supplies a short course on matrix algebra in the appendix for those who need it. Covering more than just statistical theory, the book provides advanced methods that you can put to immediate use. Textbooks New, Books~~Mathematics~~Probability & Statistics~~General, Handbook-of-Regression-Analysis-and-Modeling~~Daryl-S-Paulson, 999999999, Handbook of Regression Analysis and Modeling: Application, Daryl S. Paulson, Paulson S. Paulson, S. Paulson Daryl, 157444610X, Taylor & Francis, , , , , Taylor & Francis

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Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries - Paulson, Daryl S.
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einige Lagerspuren Editorial Reviews\n\nReview\nUnlike many other statistical texts, Paulson's book is easy to read and comprehend. It moves the reader along the statistics learning path with much less trauma. The author takes great care to explain the logic behind the statistical analysis process as well as disclose the benefits associated with the effort. Paulson's addition of carefully selected philosophic nuggets gives certain passages of the text a delightful 'Zen' quality that is very refreshing. I enjoyed the reading experience and will use the text in my own work.\n- Lawton A. Seal, Healthpoint/DEB Pharmaceuticals\n\nProduct Description\nCarefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mimics real life. Relying heavily on computer software, he includes exploratory data analysis to evaluate the fit of the model to the actual data.\n\nThe book presents a well-defined procedure for adding or subtracting independent variables to the model variable and covers how to apply statistical forecasting methods to the serially correlated data characteristically found in clinical and pharmaceutical settings. The stand alone chapters allow you to pick and choose which chapter to read first and home in on the information that fits your immediate needs. Each example is presented in computer software format. The author uses MINITAB in the book but supplies instructions for SAS and SPSSX, making the book easily adaptable to individual situations.\n\nAlthough written with the assumption that the reader has knowledge of basic and matrix algebra, the book supplies a short course on matrix algebra in the appendix for those who need it. Covering more than just statistical theory, the book provides advanced methods that you can put to immediate use. , ISBN: 157444610X, Hardcover, Chapman and Hall/CRC,

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Handbook of Regression and Modeling, Applications for the Clinical and Pharmaceutical Industries - Daryl S. Paulson
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Daryl S. Paulson:
Handbook of Regression and Modeling, Applications for the Clinical and Pharmaceutical Industries - gebunden oder broschiert

2006

ISBN: 157444610X

ID: 853068257

[EAN: 9781574446104], Neubuch, [PU: Taylor and Francis(Chapman and Hall/CRC)], Medical|Pharmacology, (520 pages) Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mimics real life. Relying heavily on computer software, he includes exploratory data analysis to evaluate the fit of the model to the actual data. The book presents a well-defined procedure for adding or subtracting independent variables to the model variable and covers how to apply statistical forecasting methods to the serially correlated data characteristically found in clinical and pharmaceutical settings. The stand alone chapters allow you to pick and choose which chapter to read first and home in on the information that fits your immediate needs. Each example is presented in computer software format. The author uses MINITAB in the book but supplies instructions for SAS and SPSSX, making the book easily adaptable to individual situations. Although written with the assumption that the reader has knowledge of basic and matrix algebra, the book supplies a short course on matrix algebra in the appendix for those who need it. Covering more than just statistical theory, the book provides advanced methods that you can put to immediate use.Basic Statistical Concepts Simple Linear Regression Special Problems in Simple Linear Regression: Determining ˆx from y, Serial Correlation, and Curve Fitting Some Aspects and Examples in Constructing a Valid Simple Regression Study Multiple Linear Regression Correlation in Multiple Regression Issues in Multiple Linear Regression Polynomial Regression Special Topics in Multiple Regression Indicator (Dummy) Variable Regression Model Building/Model Selection Analysis of Covariance Logistic Regression Appendices (Hardback)

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Handbook of Regression and Modeling, Applications for the Clinical and Pharmaceutical Industries - Daryl S. Paulson
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Daryl S. Paulson:
Handbook of Regression and Modeling, Applications for the Clinical and Pharmaceutical Industries - gebunden oder broschiert

2006, ISBN: 157444610X

ID: 853068257

[EAN: 9781574446104], Neubuch, [PU: Taylor and Francis(Chapman and Hall/CRC)], Medical|Pharmacology, (520 pages) Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mimics real life. Relying heavily on computer software, he includes exploratory data analysis to evaluate the fit of the model to the actual data. The book presents a well-defined procedure for adding or subtracting independent variables to the model variable and covers how to apply statistical forecasting methods to the serially correlated data characteristically found in clinical and pharmaceutical settings. The stand alone chapters allow you to pick and choose which chapter to read first and home in on the information that fits your immediate needs. Each example is presented in computer software format. The author uses MINITAB in the book but supplies instructions for SAS and SPSSX, making the book easily adaptable to individual situations. Although written with the assumption that the reader has knowledge of basic and matrix algebra, the book supplies a short course on matrix algebra in the appendix for those who need it. Covering more than just statistical theory, the book provides advanced methods that you can put to immediate use.Basic Statistical Concepts Simple Linear Regression Special Problems in Simple Linear Regression: Determining ˆx from y, Serial Correlation, and Curve Fitting Some Aspects and Examples in Constructing a Valid Simple Regression Study Multiple Linear Regression Correlation in Multiple Regression Issues in Multiple Linear Regression Polynomial Regression Special Topics in Multiple Regression Indicator (Dummy) Variable Regression Model Building/Model Selection Analysis of Covariance Logistic Regression Appendices (Hardback)

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ID: 9781574446104

Internationaler Buchtitel. In englischer Sprache. Verlag: ST LUCIE PR, 503 Seiten, L=229mm, B=161mm, H=32mm, Gew.=798gr, [GR: 16200 - HC/Mathematik], [SW: - Mathematics], Gebunden, Klappentext: Addressing a variety of topics related to this advanced aspect of statistics, Handbook of Regression Analysis and Modeling: Applications provides essential information for researchers, graduate students, and scientists who use regression analysis for biostatistics related to clinical and pharmaceutical research. This text includes exploratory data analysis to evaluate the fit of the model to the actual data. It presents a well-defined procedure for adding or subtracting independent variables to the model variables, with methods that rely on computer software. It also applies statistical forecasting methods when data are serially correlated. Additional material covers simple linear and multiple regressions. Addressing a variety of topics related to this advanced aspect of statistics, Handbook of Regression Analysis and Modeling: Applications provides essential information for researchers, graduate students, and scientists who use regression analysis for biostatistics related to clinical and pharmaceutical research. This text includes exploratory data analysis to evaluate the fit of the model to the actual data. It presents a well-defined procedure for adding or subtracting independent variables to the model variables, with methods that rely on computer software. It also applies statistical forecasting methods when data are serially correlated. Additional material covers simple linear and multiple regressions.

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Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries
Autor:

Paulson, Daryl S.

Titel:

Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries

ISBN-Nummer:

9781574446104

Addressing a variety of topics related to this advanced aspect of statistics, Handbook of Regression Analysis and Modeling: Applications provides essential information for researchers, graduate students, and scientists who use regression analysis for biostatistics related to clinical and pharmaceutical research. This text includes exploratory data analysis to evaluate the fit of the model to the actual data. It presents a well-defined procedure for adding or subtracting independent variables to the model variables, with methods that rely on computer software. It also applies statistical forecasting methods when data are serially correlated. Additional material covers simple linear and multiple regressions.

Detailangaben zum Buch - Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries


EAN (ISBN-13): 9781574446104
ISBN (ISBN-10): 157444610X
Gebundene Ausgabe
Erscheinungsjahr: 2006
Herausgeber: ST LUCIE PR
503 Seiten
Gewicht: 0,798 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 11.04.2007 13:31:24
Buch zuletzt gefunden am 24.06.2015 06:57:18
ISBN/EAN: 9781574446104

ISBN - alternative Schreibweisen:
1-57444-610-X, 978-1-57444-610-4

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