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An R and S-Plus companion to applied regression.
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ISBN: 0761922792 0761922806 Year: 2002 Publisher: Thousand Oaks Sage

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"The text does an outstanding job of providing the necessary mechanics and theory of the S language. I will use this book in every such course that I teach from this point on." 						 JEFF GILL, University of Florida, Gainesville "The book provides a valuable supplement to texts on regression analysis and linear models by showing readers how to put into practice the strategies and techniques involved in modern statistical methodology. It explains clearly the use of a very sophisticated and powerful statistical software system. And, while the examples and objectives are focused closely on regression and related techniques, the discussion successfully conveys general advice and principles for statistical computing with the S system." 					 WILLIAM JACOBY, University of South Carolina Features: Various facilities of S are introduced as needed within the context of detailed examples Cumulative examples: later examples often depend upon earlier ones, but examples in separate chapters are always independent of each other Asterisks note more demanding material that may be skipped without loss of continuity Boxes explain and highlight the many small differences between S-PLUS and R, and between S3 and S4, so that the reader can quickly locate the material that is relevant to their version of S or skip that information A companion Web site, featuring: instructions for downloading, installing, and using the Windows version of R; add-on packages; versions of the car (companion to applied regression) library that includes the software and data sets described in the book; an appendix for various extensions of regression analysis not covered in the text; and downloadable scripts for all of the examples in the text "If you want to keep up with the latest developments in statistics, you need to use the computer language S. If you want to learn S, there isn't a better way to get started than Fox's An R and S-Plus Companion to Applied Regressio

Regression models for categorical dependent variables using stata.
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ISBN: 1597180114 9781597180115 Year: 2006 Publisher: Texas Stata Corporation

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"The goal of Regression Models for Categorical Dependent Variables Using Stata, Third Edition is to make it easier to carry out the computations necessary to fully interpret regression models for categorical outcomes by using Stata's margins command. Because the models are nonlinear, they are more complex to interpret. Most software packages that fit these models do not provide options that make it simple to compute the quantities useful for interpretation. In this book, the authors briefly describe the statistical issues involved in interpretation, and then they show how you can use Stata to perform these computations."--Back cover.

Regression analysis of count data
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ISBN: 0521632013 0521635675 9786610160037 0511117094 0511814364 0511066147 0511059833 0511323956 1280160039 1139145886 0511068271 1316085023 9780521632010 9780521635677 9780511814365 9780511066146 9780511068270 9780511117091 9780511059834 9781316085028 9781280160035 6610160031 9781139145886 9780511323959 Year: 1998 Volume: 30 Publisher: Cambridge : Cambridge University Press,

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Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor, auto accidents or job hiring. This analysis provides a comprehensive account of models and methods to interpret such data. The authors have conducted research in the field for nearly fifteen years and in this work combine theory and practice to make sophisticated methods of analysis accessible to practitioners working with widely different types of data and software. The treatment will be useful to researchers in areas such as applied statistics, econometrics, operations research, actuarial studies, demography, biostatistics, quantitatively-oriented sociology and political science. The book may be used as a reference work on count models or by students seeking an authoritative overview. The analysis is complemented by template programs available on the Internet through the authors' homepages.

Regression diagnostics.
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ISBN: 080393971X 9780803939714 1412985609 1452209030 0585217092 Year: 1991 Volume: 79 Publisher: Newbury Park Sage

Handbook of probiotics
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ISBN: 0471154105 047119025X 9780471154105 Year: 1999 Publisher: New York Wiley

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Keywords

Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Quantitative methods (economics) --- Medicine --- Medical sciences --- Regression analysis --- Prognosis --- Logistic distribution. --- Médecine --- Analyse de régression --- Research --- Statistical methods. --- Statistical methods --- Computer programs. --- Data processing. --- Recherche --- Méthodes statistiques --- Informatique --- Logistic distribution --- Computer programs --- Data processing --- 579.6 --- 579.264 --- 579.864 --- Food --- -Intestines --- -Microorganisms --- -Germs --- Micro-organisms --- Microbes --- Microscopic organisms --- Organisms --- Microbiology --- Abdomen --- Gastrointestinal system --- Foods --- Dinners and dining --- Home economics --- Table --- Cooking --- Diet --- Dietaries --- Gastronomy --- Nutrition --- Applied microbiology --- Antagonism. Probiotics --- Lactobacillaceae. Lactobacillus --- -Handbooks, manuals, etc --- Therapeutic use --- 519.22 --- -Medical sciences --- -Regression analysis --- -Prognosis --- -Logistic distribution --- gezondheidszorg --- regressie-analyse --- wiskundige statistiek --- AA / International- internationaal --- 303.5 --- 519.536 --- Distribution (Probability theory) --- Medical prognosis --- Prognosis of diseases --- Forecasting --- Diagnosis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Basic medical sciences --- Basic sciences, Medical --- Biomedical sciences --- Health sciences --- Preclinical sciences --- Sciences, Medical --- Life sciences --- Clinical sciences --- Medical profession --- Human biology --- Pathology --- Physicians --- Statistical theory. Statistical models. Mathematical statistics in general --- -Statistical methods --- -Computer programs --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- Intestines --- Microorganisms --- Probiotics --- Bacterial Physiology. --- Food, Formulated. --- pharmacology. --- therapeutic use. --- -Applied microbiology --- 579.864 Lactobacillaceae. Lactobacillus --- 579.264 Antagonism. Probiotics --- 579.6 Applied microbiology --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- -579.864 Lactobacillaceae. Lactobacillus --- Germs --- Médecine --- Analyse de régression --- Méthodes statistiques --- Statistical methods&delete& --- Research&delete& --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Probiotic supplements --- Dietary supplements --- Health Workforce --- Primitive societies --- Medicine - Research - Statistical methods --- Medical sciences - Statistical methods - Computer programs --- Regression analysis - Data processing --- Prognosis - Statistical methods

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