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Applied Linear Statistical Models / Michael Kutner / McGraw-Hill/Irwin (2004)

Applied Linear Statistical Models [printed text] / Michael Kutner, Author ; William Li ; John Neter ; Christopher Nachtsheim, Author  . -  5th ed. . - McGraw-Hill/Irwin, 2004 . - xxviii, 1396 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.). ISBN : 978-0-07-238688-2 : € 63,49 System requirements for accompanying CD-ROM: PC, pentium based processor; Microsoft Windows 98/2000/XP; IE explorer 5.5; MS Office or equivalent. Includes bibliographical references (p. 1374-1384) and index. Languages : French (fre) Descriptors: Classification QA 278.2 Regression Analysis (Mathematical Statistics / Multivariate Analysis) - HA29 Theory and method of social science statistics (General works/ English) Indexation Analysis of Variance ; Experimental design ; Linear Models ; Regression analysis ; Textbooks Abstract: Applied Linear Statistical Models is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and completeness. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where possible integrates methods with commercially-available statistical software. Contents note: Part1 Simple Linear Regression -- 1 Linear Regression with One Predictor Variable -- 2 Inferences in Regression and Correlation Analysis -- 3 Diagnostics and Remedial Measures -- 4 Simultaneous Inferences and Other Topics in Regression Analysis -- 5 Matrix Approach to Simple Linear Regression Analysis -- Part 2 Multiple Linear Regression -- 6 Multiple Regression I -- 7 Multiple Regression II -- 8 Regression Models for Quantitative and Qualitative Predictors -- 9 Building the Regression Model I: Model Selection and Validation -- 10 Building the Regression Model II: Diagnostics -- 11 Building the Regression Model III: Remedial Measures -- 12 Autocorrelation in Time Series Data -- Part 3 NonLinear Regression -- 13 Introduction to Nonlinear Regression and Neural Networks -- 14 Logistic Regression, Poisson Regression, and Generalized Linear Models -- Part 4 Design and Analysis of Single-Factor Studies -- 15 Introduction to the Design of Experimental and Observational Studies -- 16 Single-Factor Studies -- 17 Analysis of Factor Level Means -- 18 ANOVA Diagnostics and Remedial Measures -- Part 5 Multi-Factor Studies -- 19 Two-Factor Studies with Equal Sample Sizes -- 20 Two-Factor Studies-One Case per Treatment -- 21 Randomized Complete Block Designs -- 22 Analysis of Covariance -- 23 Two-Factor Studies with Unequal Sample Sizes -- 24 Multifactor Studies -- 25 Random and Mixed Effects Models -- Part 6 Specialized Study Designs -- 26 Nested Designs, Subsampling, and Partially Nested Designs -- 27 Repeated Measures and Related Designs -- 28 Balanced Incomplete Block, Latin Square, and Related Designs -- 29 Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs -- 30 Response Surface Methodology -- Appendix A: Some Basic Results in Probability and Statistics -- Appendix B: Tables -- Appendix C: Data Sets -- Appendix D: Rules for Developing ANOVA Models and Tables for Balanced Designs -- Appendix E: Selected Bibliography Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=1115

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10273-01047	QA 278.2/KUT	Book	KCE	Library (10.124)	Due for return by 12/31/2020

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Is the 2000 CDC growth reference appropriate for developing countries? / Dominique Roberfroid in Public Health Nutrition, 9(2006)2 ([04/01/2006])  

[article] Is the 2000 CDC growth reference appropriate for developing countries? [printed text] / Dominique Roberfroid , Author ; M.-P. Lerude, Author ; A. Perez-Cueto, Author ; Patrick Kolsteren, Author . - 2006 . - 266-268. Languages : English (eng) in Public Health Nutrition > 9(2006)2 [04/01/2006] . - 266-268 Descriptors: Classification W 1 Serials. Periodicals Indexation Age Factors ; Analysis of Variance ; Anthropometry ; Centers for Disease Control and Prevention (U.S.) ; Child, Preschool ; Cluster Analysis ; Confidence Intervals ; Developing Countries ; Female ; Great Britain ; Humans ; Infant ; Infant, Newborn ; Journal Article ; Madagascar ; Male ; Nutrition Assessment ; Odds Ratio ; Sex Factors ; United States Abstract: In 2000, the Centers for Disease Control and Prevention (CDC) produced a revised growth reference. This has already been used in different settings outside the USA. Using data obtained during a nutritional survey in Madagascar, we compare results produced by using both the 2000 CDC and the 1978 National Center for Health Statistics (NCHS)/World Health Organization (WHO) growth references. We show that changing the reference has an important impact on nutritional diagnosis. In particular, the prevalence of wasting is greatly increased. This could generate substantial operational and clinical difficulties. We recommend continued use of the 1978 NCHS/WHO reference until release of the new WHO multi-country growth charts. Link for e-copy: http://journals.cambridge.org/action/displayFulltext?type=1&pdftype=1&fid=632948 [...] Format of e-copy: PDF [Open Access] (Embargo 1 years) (1998 to present) Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=2025 [article]

Modelling binary data / David Collett / London : Chapman & Hall (2003)

Modelling binary data [printed text] / David Collett, Author  . -  2nd ed. . - London : Chapman & Hall, 2003 . - 387 p. ; 24 cm. - (Texts in statistical science) . ISBN : 1-584-88324-3 : 52,96 € Languages : English (eng) Descriptors: Classification QA 279 Analysis of variance and covariance. Experimental design. / General works Indexation Analysis of Variance ; Distribution (Probability theory) ; Linear Models Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=126

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10273-00258	QA 279/COL	Book	KCE	Library (10.124)	Available

Multilevel analysis / Joop J. Hox / Mahwah, N.J. : Lawrence Erlbaum Associates (2002)

Multilevel analysis : techniques and applications [printed text] / Joop J. Hox, Author . - Mahwah, N.J. : Lawrence Erlbaum Associates, 2002 . - X, 304 p. ; 23 cm. - (Quantitative methodology series) . ISBN : 978-0-8058-3219-8 : 49,71 € Languages : English (eng) Descriptors: Classification HA 29 Theory and method of social science statistics - General works Indexation Analysis of Variance ; Regression analysis ; Social sciences ; Statistical methods Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=158

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10273-00410	HA29/HOX	Book	KCE	Library (10.124)	Available

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Observational studies / Paul R. Rosenbaum / New York ; Berlin ; Tokyo : Springer (2002)

Observational studies [printed text] / Paul R. Rosenbaum, Author  . -  2nd ed. . - New York ; Berlin ; Tokyo : Springer, 2002 . - XIV, 375 p. ; 24 cm. - (Springer series in statistics) . ISBN : 0-387-98967-6 : 82,33 € Descriptors: Classification QA 279 Analysis of variance and covariance. Experimental design. / General works Indexation Analysis of Variance ; Experimental design Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=143

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10273-00440	QA279/ROS	Book	KCE	Library (10.124)	Available