Books on the topic 'Logistic regression analysis model'

Hilbe, Joseph. Logistic regression models. Boca Raton: Chapman & Hall/CRC, 2009.

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. Iowa City, Iowa: ACT, Inc., 1997.

Houston, Walter M. Empirical Bayes estimates of parameters from the logistic regression model. Iowa City, Iowa: ACT, Inc., 1997.

Regression modeling strategies: With applications to linear models, logistic regression, and survival analysis. New York: Springer, 2001.

Bent, Gardner C. A logistic regression equation for estimating the probability of a stream flowing perennially in Massachusetts. Northborough, Mass: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

Bent, Gardner C. A logistic regression equation for estimating the probability of a stream flowing perennially in Massachusetts. Northborough, Mass: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

Bent, Gardner C. A logistic regression equation for estimating the probability of a stream flowing perennially in Massachusetts. Northborough, Mass: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

Bent, Gardner C. A logistic regression equation for estimating the probability of a stream flowing perennially in Massachusetts. Northborough, MA (10 Bearfoot Rd., Northborough 01532): U.S. Department of the Interior, U.S. Geological Survey, 2002.

Murphy, Karl. Nested Analysis: Identifying and Applying Qualitative Illustration Support for Logistic Regression Models. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526496478.

Spray, Judith A. Comparison of loglinear and logistic regression models for detecting changes in proportions. Iowa City: American College Testing Program, 1988.

Allison, Paul David. Logistic regression using the SAS system: Theory and application. Cary, N.C: SAS Institute, 1999.

Lemeshow, Stanley. Applied Survival Analysis: Regression Modeling of Time to Event Data. 2nd ed. Hoboken, N.J: Wiley-Interscience, 2008.

Loftsgaarden, Don O. Constructing and testing logistic regression models for binary data: Applications to the national fire danger rating system. Ogden, Utah: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1992.

Loftsgaarden, Don O. Constructing and testing logistic regression models for binary data: Applications to the National Fire Danger Rating System. Ogden, UT (324 25th St., Ogden 84401): U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1992.

K, Neerchal Nagaraj, and SAS Institute, eds. Overdispersion models in SAS. Cary, N.C: SAS Institute, 2012.

Bulinski, Alexander, ed. Encyclopaedia of Applied Statistics: Using SPSS, Statistica and Matlab: Using SPSS, Statistica and Matlab (3 Volumes). USA: Koros Press Limited, 2015.

Hosmer, David W. Applied survival analysis: Regression modeling of time-to-event data. 2nd ed. Hoboken, N.J: John Wiley & Sons, 2008.

Hosmer, David W. Applied survival analysis: Regression modeling of time-to-event data. 2nd ed. Hoboken, N.J: Wiley-Interscience, 2008.

Stanley, Lemeshow, ed. Applied survival analysis: Regression modeling of time to event data. New York: Wiley, 1999.

Menard, Scott W. Logistic regression. Thousand Oaks, Calif: Sage Publications, 2009.

Logistic regression. Thousand Oaks, Calif: Sage Publications, 2009.

Applied logistic regression analysis. 2nd ed. Thousand Oaks, Calif: Sage Publications, 2002.

Applied logistic regression analysis. Thousand Oaks, Calif: Sage Publications, 1995.

Menard, Scott. Applied Logistic Regression Analysis. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2002. http://dx.doi.org/10.4135/9781412983433.

Logistic regression: A primer. Thousand Oaks, Calif: Sage Publications, 2000.

Stanley, Lemeshow, ed. Applied logistic regression. New York: Wiley, 1989.

Stanley, Lemeshow, ed. Applied logistic regression. 2nd ed. New York: Wiley, 2000.

Hosmer, David W. Applied Logistic Regression. New York: John Wiley & Sons, Ltd., 2004.

Practical guide to logistic regression. Boca Raton: CRC Press/Taylor & Francis, 2016.

Logistic regression: A self-learning text. New York: Springer, 1994.

Mitchel, Klein, and Pryor Erica Rihl, eds. Logistic regression: A self-learning text. 2nd ed. New York: Springer, 2002.

Mitchel, Klein, and SpringerLink (Online service), eds. Logistic Regression: A Self-Learning Text. New York, NY: Springer Science+Business Media, LLC, 2010.

Logistic regression: From introductory to advanced concepts and applications. Thousand Oaks, Calif: Sage Publications, 2010.

Vach, Werner. Logistic regression with missing values in the covariates. New York: Springer-Verlag, 1994.

Nakache, Jean-Pierre. Statistique explicative appliquée: Analyse discriminante, modèle logistique, segmentation par arbre. Paris: Technip, 2003.

Draper, Norman Richard. Model selection problems. Toronto: University of Toronto, Dept. of Statistics, 1986.

Some aspects of statistical inference of logistic regression model parameters. Uppsala: Acta Universitatis Upsaliensis, 1996.

Chih-Ling, Tsai, ed. Regression and time series model selection. Singapore: World Scientific, 1998.

Institute, SAS, ed. Logistic regression using the SAS system: Theory and application. 2nd ed. Cary, N.C: SAS Pub., 2012.

1952-, Yamaoka Kazue, and Takaki Haruyoshi 1960-, eds. Rojisutikku kaiki bunseki: SAS o riyōshita tōkei kaiseki no jissai. Tōkyō-to Shinjuku-ku: Asakura Shoten, 2013.

Bera, Anil K. Specification test for a linear regression model with arch process. Champaign: University of Illinois at Urbana-Champaign, 1993.

Lawal, Bayo. Applied Statistics: Regression and Analysis of Variance. Lanham, Maryland, USA: University Press of America, 2013.

Özçam, Ahmet. The risk properties of a pre-test estimator for Zellner's seemingly unrelated regression model. Urbana-Champaign, Ill: Bureau of Economic and Business Research, 1990.

Özçam, Ahmet. The risk properties of a pre-test estimator for Zellner's seemingly unrelated regression model. Urbana-Champaign, Ill: Bureau of Economic and Business Research, 1990.

Walter, Krämer. The linear regression model under test. Heidelberg: Physica-Verlag, 1986.

Borowiak, Dale S. Model discrimination for nonlinear regression models. New York: M. Dekker, 1989.

Chang-Jin, Kim. In search of a model that an ARCH-type model may be approximating: The Markov model of heteroskedasticity. [Toronto, Ont: York University, Dept. of Economics, 1990.

Sankoh, O. A. Influential observations in the linear regression model and Trenkler's iteration estimator. Göttingen: Cuvillier, 1996.

D, Lock Michael, ed. Model-free curve estimation. New York: Chapman & Hall, 1993.

Rao, J. Sunil. Bootstrap model selection via the cost complexity parameter in regression. Toronto, Ont: University of Toronto, Department of Statistics, 1993.