Regression analysis.
概要
| 作品: | 277 作品在 103 項出版品 103 種語言 | |
|---|---|---|
書目資訊
Methods and applications of linear models :regression and the analysis of variance /
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Applied regression analysis and other multivariable methods /David G. Kleinbaum ... [et al.].
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Statistical tools for nonlinear regression :a practical guide with S-PLUS examples /
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Applied linear statistical models :regression, analysis of variance, and experimental designs /
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Plots, transformations, and regression :an introduction to graphical methods of diagnostic regression analysis /
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Regression modeling strategies :with applications to linear models, logistic regression, and survival analysis /
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Student solutions manual to accompany Introduction to linear regression analysis, third edition /
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Fitting models to biological data using linear and nonlinear regression :a practical guide to curve fitting /
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Statistical models for the social and behavioural sciences :multiple regression and limited-dependent variable models /
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Nonparametric regression and generalized linear models :a roughness penalty approach /
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Extending the linear model with R :generalized linear, mixed effects and nonparametric regression models /
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Statistical tools for nonlinear regression :a practical guide with S-PLUS and R examples /
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Decision trees for business intelligence and data mining :using SAS Enterprise Miner /
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Regression methods in biostatistics :linear, logistic, survival, and repeated measures models /
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Recent Advances in Linear Models and Related AreasEssays in Honour of Helge Toutenburg /
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Clinical prediction modelsa practical approach to development, validation, and updating /
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Statistical tools for nonlinear regressiona practical guide with S-PLUS and R examples /
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Student solution manual to accompany Introduction to linear regression analysis, fourth edition, Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining /
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Statistical modelling and regression structuresfestschrift in honour of Ludwig fahrmeir /
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Running regressions :a practical guide to quantitative research in economics, finance and development studies /
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Operationalizing dynamic pricing modelsbayesian demand forecasting and customer choice modeling for low cost carriers /
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Regression methods in biostatisticslinear, logistic, survival, and repeated measures models /
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Multivariable model-building :a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables /
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Applications of linear and nonlinear modelsfixed effects, random effects, and total least squares /
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Introduction to mediation, moderation, and conditional process analysis :a regression-based approach /
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The GVAR HandbookStructure and Applications of a Macro Model of the Global Economy for Policy Analysis /
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Multivariate nonparametric regression and visualization :with R and applications to finance /
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Design of experiments in nonlinear models :asymptotic normality, optimality criteria and small-sample properties /
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Regression modeling strategieswith applications to linear models, logistic and ordinal regression, and survival analysis /
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Introduction to mediation, moderation, and conditional process analysis :a regression-based approach /
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Interaction effects in linear and generalized linear models :examples and applications using Stata /
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Clinical prediction modelsa practical approach to development, validation, and updating /
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Statistical regression and classification :from linear models to machine learning /
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Identifiability and regression analysis of biological systems modelsstatistical and mathematical foundations and R scripts /
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Effective statistical learning methods for actuaries.II,Tree-based methods and extensions
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Beyond multiple linear regression :applied generalized linear models and multilevel models in R /
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Applications of linear and nonlinear modelsfixed effects, random effects, and total least squares /
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Modern survival analysis in clinical researchCox regressions versus accelerated failure time models /
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