Regression modeling strategies

Saved in:

Bibliographic Details
Main Author:	Harrell, F
Format:	Book
Language:	Undetermined
Published:	New York Springer 2015
Edition:	2nd ed.
Subjects:	Degree - M. Sc. Statistics 2016 - 2017 / Degree College
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Applied regression analysis
by: Draper, N
Published: (1998)

Statistical regression and classification
by: Matloff, N
Published: (2019)

CRYPTOGRAPHY AND NETWORK SECURITY :PRINCIPLES AND PRACTICE
by: STALLINGS WILLIAM
Published: (2022)

Regression analysis - theory, methods and applications
by: Sen, A
Published: (1990)

Applied regression analysis
by: Draper, Norman

Random fields for spatial data modeling
by: Hristopulos, Dionissios T.
Published: (2020)

Examples in parametric inference with R
by: Dixit, U
Published: (2016)

Advanced R
by: Wickham, H
Published: (2014)

Regression analysis theory methods and applications
by: Sen, A
Published: (1990)

Applied regression analysis
by: Draper, N
Published: (2015)

Applied logistic regression
by: Hosmer, D
Published: (2013)

Data mining methods and models
by: Larose, D
Published: (2006)

Pattern Recognition
by: Duda, R O
Published: (2021)

Modelling survival data in medical research
by: Collett, D
Published: (2015)

Advance linear models - theory and applications
by: Wang, S
Published: (1994)

SAS programming for elementary statistics
by: Goad, C.
Published: (2021)

First course in stochastic processes
by: Karlin, Samuel
Published: (1975)

Theory and methods of survey sampling
by: Mukhopadhyay, P
Published: (2015)

Chemical applications of group theory
by: Cotton, F.

Chemical applications of group theory
by: Cotton, F.

Linear algebra
by: Friedberg, S
Published: (2013)

Matrix algebra useful for statistics
by: Searle, S
Published: (2017)

Network and adaptive sampling
by: Chaudhuri, A
Published: (2015)

Introduction to statistical time series
by: Fuller, W
Published: (1996)

Statistics for sports and exercise science
by: Newell, J
Published: (2014)

Statistical inference - a concise course
by: Ash, R
Published: (2011)

Some theories on sampling
by: Deming, W
Published: (1966)

Applied statistical interference - likelihood and bayes
by: Held, L
Published: (2014)

Mathematical finance and probability - a discrete introduction
by: Medina, P
Published: (2003)

Barron's AP statistics
by: Sternstein, M
Published: (2019)

Cracking the AP statistics exam
by: The Staff of Princeton Review
Published: (2018)

Handbook of meta-analysis
by: Schmid, C
Published: (2021)

Statistical mechanics
by: Mitchell, M
Published: (2022)

Mathematical analysis
by: Malik, S
Published: (2017)

Probability - a graduate course
by: Gut, A
Published: (2013)

Magnetochemistry
by: Carlin, R
Published: (1986)

Time series analysis and its applications - with R examples
by: Shumway, R
Published: (2017)

Time-series forecasting
by: Chatfield, C
Published: (2001)

Analysis of variance
by: Scheffe, H
Published: (1999)

Modern survey sampling
by: Chaudhuri, A
Published: (2014)