Principles of Regression Analysis /

Mã QR

Principles of Regression Analysis /

Đã lưu trong:

Sonraí Bibleagrafaíochta
Príomhúdar:	Plackett, R. L.
Formáid:	Sách giấy
Teanga:	English
Foilsithe:	London : Oxford University Press, 1960
Clibeanna:	Cuir Clib Leis Gan Chlibeanna, Bí ar an gcéad duine leis an taifead seo a chlibeáil!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Míreanna Comhchosúla

Regression analysis
le: Sen

Regression Analysis
le: Wilson, J .Holton
Foilsithe: (2012)

Applied regression analysis :
le: Dielman, Terry E.
Foilsithe: (2005)

Applied regression analysis :
le: Dielman, Terry E.
Foilsithe: (2005)

Applied regression analysis
le: Draper, Norman Richard.
Foilsithe: (1966)

Regression Analysis in Medical Research
le: Cleophas, Ton J., et al.
Foilsithe: (2020)

Applied Regression Analysis for Business
le: Welc, Jacek, et al.
Foilsithe: (2020)

Introduction to linear regression analysis
le: Montgomery, Douglas C.
Foilsithe: (2006)

Applied regression analysis and other multivariate methods

Subsample ignorable likelihood for regression analysis with missing data /
le: Little, Roderick J.

Data Analysis Using Regression and Multilevel/Hierarchical Models
le: Gelman, Andrew, et al.
Foilsithe: (2013)

Applied multiple regression/correlation analysis for the behavioral sciences /
le: Cohen, Jacob, 1923-
Foilsithe: (1983)

The application of a spatial regression model to the analysis and mapping of poverty
le: Alessandra Petrucci
Foilsithe: (2003)

Forecasting, time series, and regression
le: Bowerman, Bruce L.
Foilsithe: (2005)

Multiple regression
le: Aiken

Regression for Economics
le: Naghshpour, Shahdad
Foilsithe: (2012)

Applied regression including computing and graphics /
le: Cook, R. Dennis.
Foilsithe: (1999)

Introduction to regression modeling
le: Abraham, Bovas

Introduction to regression modeling
le: Bovas Abraham
Foilsithe: (2006)

Applied linear regression
le: Weisberg, Sanford
Foilsithe: (2005)

Applied nonparametric regression
le: Hardle, Wolfgang.
Foilsithe: (1990)

Introduction to Mediation, Moderation and Conditional Process Analysis: A Regression-Based Approarch (Second Edition)
le: Andrew, F. Hayes
Foilsithe: (2023)

Introduction to Mediation, Moderation, and Conditional Process Analysis A Regression-Based Approach (Second Edition)
le: F. Andrew, Hayes
Foilsithe: (2025)

Localized model selection for regression /
le: Yang, Yuhong.

Quantile regression with mismeasured covariates /
le: Schennach, Susanne M.

Crisis and Social Regression in Brazil
le: Oliveira, Roberto Véras de
Foilsithe: (2019)

Bayesian and Frequentist Regression Methods
le: Wakefield, Jon
Foilsithe: (2020)

Multiple regression in behavioral research
le: Kerlinger, Fred N.
Foilsithe: (1973)

Applied linear regression models
Foilsithe: (1996)

Applied Linear Regression Models
le: Kutner, Michael H.
Foilsithe: (2005)

Business Applications of Multiple Regression
le: Richardson, Ronny
Foilsithe: (2011)

Applied linear regression models
le: Kutner, Michael H.
Foilsithe: (2004)

Applied linear regression models
Foilsithe: (1983)

Bayesian and Frequentist Regression Methods
le: Wakefield, Jon
Foilsithe: (2013)

Impact of missing data on the detection of differential item functioning : The case of Mantel-Haenszel and logistic regression analysis /
le: Robitzsch, Alexander.

Application of regression analysis to determine the parameters of SBOG-150 dried vortex longan using Biogas energy
le: Phạm, Thị Minh Huệ, et al.
Foilsithe: (2024)

Introduction and application of secured principal component regression for analysis of uncalibrated spectral features in optical spectroscopy and chemical sensing /
le: Vogt, Frank.

Minimizing average risk in regression models /
le: Claeskens, Gerda.

Predictive density estimation for multiple regression /
le: George, Edward I.

Principles of Mathematical Analysis /
le: Rudin, Walter
Foilsithe: (1964)