검색어 [전방일치/ 주제어:Regression analysis.]
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No. 자료 유형 서명저자출판사출판년 수록 매체
1 단행본 Regression and other stories Gelman, Andrew Cambridge University Press 2021
2 단행본 Applied linear regression models Kutner, Michael H McGraw-Hill 2004 / 4th ed
3 단행본 Applied linear regression Weisberg, Sanford Wiley 1985 / 2nd ed
4 단행본 Conditioning diagnostics : collinearity and weak data in regression Belsley, David A J. Wiley 1991
5 단행본 Regression analysis by example Chatterjee, Samprit Wiley-Interscience 2006 / 4th ed.
6 단행본 Random coefficient models Longford, Nicholas T. Clarendon Press 1993 목차
7 단행본 Regression analysis : a constructive critique Berk, Richard A Sage Publications 2004 URL
8 단행본 Regression analysis with applications Wetherill, G. Barrie Chapman and Hall 1986
9 단행본 Regression diagnostics : identifying influential data and sources of collinearity Belsley, David A Wiley 1980 목차
10 단행본 Introduction to linear regression analysis Montgomery, Douglas C John Wiley & Sons 2001 / 3rd ed URL
11 단행본 Statistical learning from a regression perspective Berk, Richard A Springer Verlag 2008
12 단행본 Classical and modern regression with applications Myers, Raymond H Duxbury Press 1986
13 단행본 Regression analysis by example Chatterjee, Samprit Wiley 1977
14 단행본 Classical and modern regression with applications Myers, Raymond H PWS-KENT Pub. Co. 1990 / 2nd ed 목차
15 단행본 Plots, transformations, and regression : an introduction to graphical methods of diagnostic regression analysis Atkinson, A. C. (Anthony Curtis) Clarendon Press 1985
16 단행본 Linear regression analysis Seber, G. A. F. (George Arthur Frederick) Wiley 1977
17 단행본 Robust regression : analysis and applications Lawrence, Kenneth D M. Dekker 1990 목차
18 단행본 Applied linear regression models Neter, John Irwin 1989 / 2nd ed
19 단행본 Regression analysis : theory, methods and applications Sen, Ashish K Springer-Verlag 1990
20 단행본 Applied regression analysis Draper, Norman Richard Wiley 1966
21 단행본 Alternative methods of regression Birkes, David John Wiley & Sons 1993
22 단행본 Introduction to linear regression analysis Montgomery, Douglas C Wiley 1982
23 단행본 Recent advances in regression methods Vinod, Hrishikesh D. M. Dekker 1981
24 단행본 Introduction to linear regression analysis Montgomery, Douglas C Wiley-Interscience 2006 / 4th ed.
25 단행본 Regression analysis and its application : a data-oriented approach Gunst, Richard F. Marcel Dekker 1980
26 단행본 Residuals and influence in regression Cook, R. Dennis Chapman and Hall 1982
27 단행본 Applied regression analysis Draper, Norman Richard John Wiley & Sons 1998 / 3rd ed URL
28 단행본 Applied regression analysis : a research tool Rawlings, John O. Springer 1998 / 2nd ed.
29 단행본 Regression : a second course in statistics Wonnacott, Thomas H. Wiley 1981 목차
30 단행본 Model discrimination for nonlinear regression models Borowiak, Dale S. M. Dekker 1989
31 단행본 Applied logistic regression Hosmer, David W Wiley 1989
32 단행본 Linear regression analysis Seber, G. A. F. (George Arthur Frederick) Wiley-Interscience 2003 / 2nd ed URL
33 단행본 Multiple regression : testing and interpreting interactions Aiken, Leona S Sage Publications 1991
34 단행본 Solutions manual to accompany applied logistic regression Hosmer, David W John Wiley & Sons 2001 / 2nd ed URL
35 단행본 Regression basics Kahane, Leo H Sage Publications 2001
36 단행본 Modern regression methods Ryan, Thomas P Wiley 1997 URL
37 단행본 Applied logistic regression Hosmer, David W John Wiley & Sons 2000 / 2nd ed URL
38 단행본 Introduction to linear regression analysis Montgomery, Douglas C Wiley 2012 / 5th ed
39 단행본 Introduction to linear regression analysis Montgomery, Douglas C Wiley 1992 / 2nd ed 목차
40 단행본 Regression analysis by example Chatterjee, Samprit Wiley 2012 / 5th ed
41 단행본 Models in regression and related topics Sprent, Peter Methuen 1969
42 단행본 Applied regression analysis Draper, Norman Richard Wiley 1981 / 2nd ed
43 단행본 Applied linear regression models Neter, John Irwin 1996 / 3rd ed URL
44 단행본 Regression : linear models in statistics Bingham, N. H Springer 2010
45 단행본 Statistical learning from a regression perspective Berk, Richard A. Springer Verlag 2008
46 단행본 Applied linear regression Weisberg, Sanford Wiley 1980
47 단행본 Regression analysis by example Chatterjee, Samprit Wiley 2000 / 3rd ed
48 단행본 Measurement, regression, and calibration Brown, Philip J. Clarendon Press 1993
49 단행본 Multiple regression approach : research design in the behavioral sciences Kelly, Francis John Southern Illinois University Press 1969
50 단행본 Applied regression including computing and graphics Cook, R. Dennis John Wiley & Sons 1999
51 단행본 An introduction to computational statistics : regression analysis Jennrich, Robert I. Prentice Hall 1995
52 단행본 Applied linear regression models Neter, John Richard D. Irwin 1983
53 단행본 Applied regression analysis : a research tool Rawlings, John O. Wadsworth & Brooks/Cole Advanced Books & Software 1988 목차
54 단행본 Linear regression Gross, Jürgen Springer 2003
55 단행본 Regression analysis : concepts and applications Graybill, Franklin A Duxbury Press 1994 목차
56 단행본 Introduction to linear regression analysis Montgomery, Douglas C Wiley 2012 / 5th ed
57 단행본 Statistical regression with measurement error Cheng, Chi-Lun Arnold ; Oxford University Press, 1999
58 단행본 Applied linear regression Weisberg, Sanford Wiley-Interscience 2005 / 3rd ed
59 단행본 Applied regression analysis Draper, Norman Richard Wiley 1998 / 3rd ed
60 단행본 Applied logistic regression / Hosmer, David W. Wiley 2000 / Second Edition
61 단행본 Applied linear regression models Neter, John R.D. Irwin 1983
62 단행본 Introduction to linear regression analysis Montgomery, Douglas C. Wiley-Interscience 2006 / 4th ed
63 단행본 Classical and modern regression with applications Myers, Raymond H. Dubury 1990 / 2nd ed
64 단행본 Applied regression analysis : a research tool Rawlings, John O. Springer 1998 / 2nd ed
65 단행본 Applied linear regression models Neter, John Irwin 1989 / 3rd ed
66 단행본 Regression models for categorical and limited dependent variables Long, J. Scott Sage Publications 1997
67 단행본 Multiple regression : a primer Allison, Paul David Pine Forge Press 1999 URL
68 단행본 Applied linear regression models Kutner, Michael H McGraw-Hill/Irwin 2004 / 4th ed. URL
69 단행본 A practical introduction to regression discontinuity designs : foundations Cattaneo, Matias D Cambridge University Press 2019
70 단행본 Statistics for economists : an introduction Beals, Ralph E Rand McNally 1972 목차
71 단행본 Regression analysis of count data Cameron, Adrian Colin Cambridge University Press 1998 URL
72 단행본 Proportional hazards regression O'Quigley, John Springer 2008
73 단행본 Regression and the Moore-Penrose pseudoinverse Albert, Arthur E Academic Press 1972
74 단행본 Subset selection in regression Miller, Alan J. (Alan Jay) Chapman and Hall 1990
75 단행본 Applied nonparametric regression Härdle, Wolfgang Cambridge University Press 1990
76 단행본 Interaction effects in multiple regression Jaccard, James Sage Publications 2003 / 2nd ed
77 단행본 Applied regression analysis and other multivariable methods Kleinbaum, David G PWS-Kent Pub. Co. 1988 / 2nd ed 목차
78 단행본 Multiple regression in behavioral research : explanation and prediction Pedhazur, Elazar J Holt, Rinehart, and Winston 1982 / 2nd ed
79 단행본 Applied statistics : analysis of variance and regression Mickey, Ruth M. Wiley-Interscience 2004 / 3rd ed. URL
80 단행본 Solutions manual for Applied regression analysis and other multivariable methods Kleinbaum, David G Duxbury Press 1978
81 단행본 Random coefficient autoregressive models : an introduction Nicholls, Des F Springer-Verlag 1982
82 단행본 Introduction to statistical time series Fuller, Wayne A John Wiley & Sons 1996 / 2nd ed
83 단행본 Regression models for time series analysis Kedem, Benjamin John Wiley & Sons 2002
84 단행본 Measurement error in nonlinear models : a modern perspective Carroll, Raymond J Chapman & Hall/CRC 2006 / 2nd ed.
85 단행본 Predictions in time series using regression models Štulajter, František Springer 2002 URL
86 단행본 Statistical inference under order restrictions : the theory and application of isotonic regression Barlow, Richard E J. Wiley 1972
87 단행본 Quantile regression Koenker, Roger Cambridge University Press 2005 URL
88 단행본 Local regression and likelihood Loader, Clive Springer 1999
89 단행본 Linear models with R Faraway, Julian James Chapman & Hall/CRC 2005
90 단행본 Semiparametric regression Ruppert, David Cambridge University Press 2003 URL
91 단행본 Statistics II : ANOVA and regression : course notes SAS Institute 2005
92 단행본 Simultaneous inference in regression Liu, Wei CRC Press 2011
93 단행본 Linear models with R Faraway, Julian James Chapman & Hall/CRC 2005
94 단행본 Quantile regression Koenker, Roger Cambridge University Press 2005
95 단행본 Semiparametric regression for the social sciences Keele, Luke John Wiley & Sons 2008
96 단행본 Applied logistic regression analysis Menard, Scott W Sage Publications 2002 / 2nd ed
97 단행본 Robust diagnostic regression analysis Atkinson, A. C. (Anthony Curtis) Springer 2000
98 단행본 A guide to modern econometrics Verbeek, Marno John Wiley & Sons 2000 URL
99 단행본 Multiple regression in behavioral research Kerlinger, Fred N. (Fred Nichols) Holt, Rinehart and Winston 1973
100 단행본 Applied statistics : analysis of variance and regression Dunn, Olive Jean Wiley 1974
101 단행본 Using econometrics : a practical guide Studenmund, A. H. Addison-Wesley 2011 / 6th ed
102 단행본 Modeling and interpreting interactive hypotheses in regression analysis Kam, Cindy D. University of Michigan Press 2007 URL
103 단행본 Introduction to statistical time series Fuller, Wayne A Wiley 1976
104 단행본 Measurement error in nonlinear models Carroll, Raymond J. Chapman & Hall 1995
105 단행본 Applied regression analysis and other multivariable methods Kleinbaum, David G Duxbury Press 1978
106 단행본 Regression models : censored, sample selected or truncated data Breen, Richard Sage Publications 1996
107 단행본 A guide to modern econometrics Verbeek, Marno John Wiley & Sons 2008 / 3rd ed
108 단행본 Understanding regression analysis : an introductory guide Schroeder, Larry D Sage Publications 1986
109 단행본 Applied statistics : analysis of variance and regression Mickey, Ruth M. Wiley-Interscience 2004 / 3rd ed.
110 단행본 Semiparametric regression for the social sciences Keele, Luke John Wiley & Sons 2008
111 단행본 Using econometrics : a practical guide Studenmund, A. H. Addison Wesley Longman 2001 / 4th ed
112 단행본 Regression and econometric methods Huang, David S. R. E. Krieger Pub. Co. 1980
113 단행본 Using econometrics : a practical guide Studenmund, A. H Addison Wesley Longman 2001 / 4th ed
114 단행본 Data analysis and regression : a second course in statistics Mosteller, Frederick Addison-Wesley Pub. Co. 1977
115 단행본 Using econometrics : a practical guide Studenmund, A. H Addison Wesley Pearson 2006 / 5th ed URL
116 단행본 Nonparametric regression and generalized linear models : a roughness penalty approach Green, P. J. (Peter J.) Chapman & Hall 1994 / 1st ed 목차
117 단행본 A guide to modern econometrics Verbeek, Marno John Wiley & Sons 2004 / 2nd ed
118 단행본 Stochastic parameter regression models Newbold, Paul Sage Publications 1985
119 단행본 Multiple regression and analysis of variance : an introduction for computer users in management and economics Wesolowsky, George O John Wiley & Sons 1976
120 단행본 Regression analysis for social sciences Eye, Alexander von Academic Press 1998
121 단행본 Applied quantitative analysis in education and the social sciences Petscher, Yaacov M Routledge 2013
122 단행본 Nonrecursive causal models Berry, William Dale Sage Publications 1984
123 단행본 Applied logistic regression : David W. Hosmer, Jr., PhD, Stanley Lemeshow, PhD, Rodney X. Sturdivant, PhD Hosmer, David W John Wiley & Sons, Inc 2013 / 3rd ed
124 단행본 Econometrics by example Gujarati, Damodar N Macmillan Education/Palgrave 2015 / 2nd ed
125 단행본 Image processing and jump regression analysis Qiu, Peihua Wiley-interscience 2005
126 단행본 Regression estimation from grouped observations Haitovsky, Yoel Griffin 1973
127 단행본 Introduction to regression and analysis of variance Bowman, A. W A. Hilger 1990
128 단행본 Multiple regression in practice Berry, William Dale Sage Publications 1985
129 단행본 Essential statistics, regression, and econometrics Smith, Gary Elsevier/Academic Press 2012
130 단행본 A guide to modern econometrics Verbeek, Marno John Wiley & Sons 2008 / 3rd ed
131 단행본 Predictions in time series using regression models S}tulajter, Frantis}ek Springer 2002 URL
132 단행본 Essential statistics, regression, and econometrics Smith, Gary Academic Press, an imprint Elsevier 2015 / 2nd ed
133 단행본 Using econometrics : a practical guide Studenmund, A. H. Pearson Education Limited 2014 / 6th ed., Pearson new international ed
134 단행본 Subset selection in regression Miller, Alan J. (Alan Jay) Chapman Hall/CRC 2002 / 2nd ed
135 단행본 Statistical inference under order restrictions : the theory and application of isotonic regression Barlow, Richard E. J. Wiley 1972
136 단행본 Applied regression modeling : a business approach Pardoe, Iain Wiley-Interscience 2006
137 단행본 A guide to modern econometrics Verbeek, Marno Wiley 2012 / 4th ed
138 단행본 Handbook of quantile regression Koenker, Roger CRC Press, Taylor & Francis Group 2018
139 단행본 Fixed effects regression models Allison, Paul David SAGE 2009
140 단행본 Robust diagnostic regression analysis Atkinson, A. C. (Anthony Curtis) Springer 2000
141 단행본 Mostly harmless econometrics : an empiricist's companion Angrist, Joshua D Princeton University Press 2009
142 단행본 Regression, ANOVA, and the general linear model : a statistics primer Vik, Peter SAGE 2014
143 단행본 Data analysis and regression : a second course in statistics Mosteller, Frederick Addison-Wesley Pub. Co. 1977
144 단행본 Regression discontinuity designs : theory and applications Cattaneo, Matias D Emerald Publishing 2017
145 단행본 Applied multiple regression/correlation analysis for the behavioral sciences Cohen, Jacob Routledge 2015 / 3rd ed
146 단행본 Methods and applications of linear models : regression and the analysis of variance Hocking, R. R. (Ronald R.) Wiley 2003 / 2nd ed
147 단행본 Introduction to mediation, moderation, and conditional process analysis : a regression-based approach Hayes, Andrew F Guilford Press 2018 / 2nd ed
148 단행본 Linear statistical models : an applied approach Bowerman, Bruce L PWS-KENT Pub. Co. 1990 / 2nd ed
149 단행본 Longitudinal data analysis Fitzmaurice, Garrett M. CRC Press 2009
150 단행본 Dynamic regression models for survival data Martinussen, Torben Springer 2006
151 단행본 Economic applications of quantile regression Fitzenberger, Bernd Physica-Verlag 2002
152 단행본 Regression models for categorical dependent variables using Stata Long, J. Scott StataCorp LP 2006 / 2nd ed
153 단행본 Optimal design : an introduction to the theory for parameter estimation Silvey, S. D. (Samuel David) Chapman and Hall 1980
154 단행본 Statistical methods for forecasting Abraham, Bovas Wiley 1983
155 단행본 Primer of applied regression and analysis of variance Glantz, Stanton A McGraw-Hill, Health Professions Division 1990
156 단행본 Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting Motulsky, Harvey Oxford University Press 2004
157 단행본 Testing regression models based on sample survey data Bhatti, M. Ishaq Avebury 1995
158 단행본 An introduction to linear regression and correlation Edwards, Allen Louis W. H. Freeman 1976
159 단행본 The statistical analysis of failure time data Kalbfleisch, J. D Wiley 1980
160 단행본 Measurement error models Fuller, Wayne A John Wiley & Sons 1987 목차
161 단행본 Nonlinear regression analysis and its applications Bates, Douglas M John Wiley & Sons 1988
162 단행본 Bayesian methods for nonlinear classification and regression Denison, David G. T John Wiley & Sons 2002 URL
163 단행본 Logistic regression : a self-learning text Kleinbaum, David G Springer 1994
164 단행본 Robust regression and outlier detection Rousseeuw, Peter J Wiley 1987
165 단행본 Functional relations, random coefficients, and nonlinear regression with application to kinetic data Johansen, Søren Springer-Verlag 1984 목차
166 단행본 Transformation and weighting in regression Carroll, Raymond J Chapman and Hall 1988
167 단행본 Sensitivity analysis in linear regression Chatterjee, Samprit Wiley 1988
168 단행본 Regression methods in biostatistics : linear, logistic, survival, and repeated measures models Vittinghoff, Eric Springer 2005
169 단행본 A distribution-free theory of nonparametric regression Györfi, László Springer 2002
170 단행본 Quantitative methods in population health : extensions of ordinary regression Palta, Mari John Wiley & Sons 2003
171 단행본 Least absolute deviations : theory, applications, and algorithms Bloomfield, Peter Birkhäuser 1983
172 단행본 Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models Faraway, Julian James Chapman & Hall/CRC 2006
173 단행본 The statistical analysis of failure time data Kalbfleisch, J. D J. Wiley 2002 / 2nd ed URL
174 단행본 Logistic regression : a self-learning text Kleinbaum, David G Springer 2002 / 2nd ed
175 단행본 Applied longitudinal analysis Fitzmaurice, Garrett M Wiley-Interscience 2004 URL
176 단행본 Methods and applications of linear models : regression and the analysis of variance Hocking, R. R. (Ronald R.) Wiley-Interscience 2003 / 2nd ed URL
177 단행본 Forecasting with dynamic regression models Pankratz, Alan John Wiley & Sons 1991
178 단행본 Regression analysis for categorical moderators Aguinis, Herman Guilford Press 2004 URL
179 단행본 Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples Huet, S. (Sylvie) Springer 2004 / 2nd ed
180 단행본 Handbook of advanced multilevel analysis Hox, J. J Routledge 2011
181 단행본 Applied regression analysis and generalized linear models Fox, John Sage 2016 / 3rd ed
182 단행본 Statistical learning from a regression perspective Berk, Richard A Springer 2016 / 2nd ed
183 단행본 Primer of applied regression and analysis of variance Glantz, Stanton A. McGraw-Hill, Health Professions Division 1990
184 단행본 Introduction to mediation, moderation, and conditional process analysis : a regression-based approach Hayes, Andrew F Guilford Press 2018 / 2nd ed
185 단행본 Regression analysis by example Chatterjee, Samprit Wiley 1977
186 단행본 Applied linear regression Weisberg, Sanford Wiley 2014 / 4th ed
187 단행본 Applied regression analysis, linear models, and related methods Fox, John Sage Publications 1997 URL
188 단행본 Linear models : an integrated approach Sengupta, Debasis World Scientific 2003
189 단행본 Introduction to linear models Dunteman, George H. (George Henry) Sage Publications 1984
190 단행본 Statistical models : theory and practice Freedman, David Cambridge University Press 2005
191 단행본 Data analysis using regression and multilevel/hierarchical models Gelman, Andrew Cambridge University Press 2007
192 단행본 Applied regression analysis and generalized linear models Fox, John Sage 2008 / 2nd ed
193 단행본 Bootstrap tests for regression models Godfrey, L. G Palgrave Macmillan 2009
194 단행본 Applying regression & correlation : a guide for students and researchers Miles, Jeremy Sage Publications 2001
195 단행본 Circular and linear regression : fitting circles and lines by least squares Chernov, Nikolai CRC Press 2011
196 단행본 Classification and regression trees Breiman, Leo Wadsworth International Group 1984
197 단행본 An introduction to linear regression and correlation Edwards, Allen Louis W.H. Freeman 1984 / 2nd ed
198 단행본 Statistical tools for nonlinear regression : a practical guide with S-PLUS examples Huet, S. Springer 1996
199 단행본 Multilevel analysis for applied research : it's just regression! Bickel, Robert Guilford Press 2007
200 단행본 Business analysis using regression : a casebook Foster, Dean P Springer 1998
201 단행본 Multiple regression and the analysis of variance and covariance Edwards, Allen Louis W.H. Freeman 1985
202 단행본 The GVAR handbook : structure and applications of a macro model of the global economy for policy analysis Di Mauro, Filippo Oxford University Press 2013
203 단행본 Introduction to mediation, moderation, and conditional process analysis : a regression-based approach Hayes, Andrew F Guilford Press 2013
204 단행본 Statistical methods : the geometric approach Saville, David J Springer 1991
205 단행본 A second course in statistics : regression analysis Mendenhall, William Prentice Hall 2003 / 6th ed
206 단행본 A modern approach to regression with R Sheather, Simon J. Springer 2009
207 단행본 Practical guide to logistic regression Hilbe, Joseph M. CRC Press 2016
208 단행본 Analyzing environmental data Piegorsch, Walter W Wiley 2005
209 단행본 Smoothing and regression : approaches, computation, and application Schimek, Michael G John Wiley & Sons 2000 URL
210 단행본 Analysis of failure and survival data Smith, Peter J. Chapman & Hall/CRC 2002
211 단행본 The coordinate-free approach to Gauss-Markov estimation Drygas, Hilmar Springer-Verlag 1970
212 단행본 Nonlinear statistical models Gallant, A. Ronald Wiley 1987
213 단행본 Theory of optimal experiments Fedorov, V. V. (Valerii Vadimovich) Academic Press 1972
214 단행본 Research design for program evaluation : the regression-discontinuity approach Trochim, William M. K Sage Publications 1984
215 단행본 Applied longitudinal analysis Fitzmaurice, Garrett M. Wiley 2011 / 2nd ed
216 단행본 Intermediate politometrics Hilton, Gordon Columbia University Press 1976
217 단행본 Regression analysis of survival data in cancer chemotherapy Carter, Walter H. M. Dekker 1983
218 단행본 Regression models for categorical dependent variables using Stata Long, J. Scott Stata Press Publication, StataCorp LP 2014 / 3rd ed
219 단행본 Regression and time series model selection McQuarrie, Allan D. R World Scientific 1998
220 단행본 A second course in statistics : regression analysis Mendenhall, William Prentice Hall 1996 / 5th ed
221 단행본 Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis Harrell, Frank E Springer 2001
222 단행본 Regression modeling with actuarial and financial applications Frees, Edward W Cambridge University Press 2010
223 단행본 Spatial regression models Ward, Michael Don Sage Publications 2008 URL
224 단행본 Bayesian smoothing and regression for longitudinal, spatial and event history data Fahrmeir, L Oxford University Press 2011
225 단행본 Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis Harrell, Frank E Springer 2015 / 2nd ed
226 단행본 A second course in business statistics : regression analysis Mendenhall, William Dellen Pub. Co. ; Collier Macmillan, 1986 / 2nd ed
227 단행본 Correlation analysis of organic reactivity : with particular reference to multiple regression Shorter, John Research Studies Press 1982
228 단행본 A second course in statistics : regression analysis Mendenhall, William Prentice Hall 2002 / 6th ed
229 단행본 Applied multiple regression/correlation analysis for the behavioral sciences Cohen, Jacob L. Erlbaum Associates 2003 / 3rd ed
230 단행본 Regression analysis : statistical modeling of a response variable Freund, Rudolf Jakob Elsevier Academic Press 2006 / 2nd ed. URL
231 단행본 Applied longitudinal analysis Fitzmaurice, Garrett M Wiley-Interscience 2004
232 단행본 Regression methods in biostatistics : linear, logistic, survival, and repeated measures models Vittinghoff, Eri Springer 2005
233 단행본 Business analysis using regression : a casebook Foster, Dean P. Springer 1998
234 단행본 Bayesian methods for nonlinear classification and regression Denison, David G. T. John Wiley Sons 2002 URL
235 단행본 Analysis of failure and survival data Smith, Peter J. Chapman Hall/CRC 2002
236 단행본 Circular and linear regression : fitting circles and lines by least squares Chernov, Nikolai Taylor & Francis 2011
237 단행본 Matching, regression discontinuity, difference in differences, and beyond Lee, Myoung-jae Oxford University Press 2016
238 단행본 Multivariable model-building : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables Royston, Patrick John Wiley 2008 URL
239 단행본 Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis Harrell, Frank E. Springer 2001
240 단행본 Spatial regression models Ward, Michael Don SAGE 2019 / 2nd ed
241 단행본 Introduction to mediation, moderation, and conditional process analysis : a regression-based approach Hayes, Andrew F Guilford Press 2022 / 3rd ed
242 단행본 Introduction to mixed modelling : beyond regression and analysis of variance Galwey, Nick Wiley 2006 URL
243 단행본 Handbook of nonlinear regression models Ratkowsky, David A. M. Dekker 1990
244 단행본 The determinants of educational outcomes : the impact of families, peers, teachers, and schools Bridge, R. Gary Ballinger Pub. Co. 1979
245 단행본 Super crunchers : why thinking-by-numbers is the new way to be smart Ayres, Ian Bantam Books 2007 초록
246 단행본 Regression and linear models Darlington, Richard B McGraw-Hill 1990
247 단행본 Applied linear statistical models : regression, analysis of variance, and experimental designs Neter, John R. D. Irwin 1985 / 2nd ed
248 단행본 Applied linear statistical models : regression, analysis of variance, and experimental designs Neter, John Irwin 1990 / 3rd ed
249 단행본 Linear statistical models and related methods : with applications to social research Fox, John Wiley 1984
250 단행본 Nonlinear regression Seber, G. A. F. (George Arthur Frederick) Wiley-Interscience 2003
251 단행본 Super crunchers : why thinking-by-numbers is the new way to be smart Ayres, Ian Bantam Books 2008 / Bantam trade paperback ed
252 단행본 The coordinate-free approach to linear models Wichura, Michael J. (Michael John) Cambridge University Press 2006
253 단행본 Applied multivariate statistics with SAS software Khattree, Ravindra SAS Institute ; John Wiley & Sons 1999 / 2nd ed
254 단행본 Clinical prediction models : a practical approach to development, validation, and updating Steyerberg, Ewout W Springer 2009
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