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Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo

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Κατηγορίες:

Computers - Artificial Intelligence (AI)

Έτος:

2022

Εκδότης:

UNKNOWN

Γλώσσα:

english

Σελίδες:

172

Αρχείο:

PDF, 2.97 MB

IPFS:

,

english, 2022

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Ίσως σας ενδιαφέρει

Walter W. Piegorsch, Richard F. Levine, Hao Helen Zhang, Thomas C. M. Lee — Handbook of Computational Statistics and Data Science

Rachid Chelouah, Patrick Siarry — Optimization and Machine Learning: Optimization for Machine Learning and Machine Learning for Optimization

Kottemann, Jeffrey — Statistics & Statistical Analysis Illustrated: Variance Everywhere

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

coll — Regression Models for Data Science in R

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Julian J.Faraway — Extending the Linear Model with R

Julian J.Faraway — Extending the Linear Model with R

Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken — Multilevel Modeling Using R

Brian Caffo — Regression Models for Data Science in R

Julian J. Faraway — Practical Regression and ANOVA using R

Faraway J.J. — Practical Regression and Anova using R

Brian Caffo — Regression Models for Data Science in R A companion book for the Coursera Regression Models class

Faraway — Practical Regression and Anova using R

Finch, W. Holmes, Bolin, Jocelyn E., Kelley, Ken — Multilevel Modeling Using R

Julian J.Faraway — Extending the Linear Model with R

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Brian Caffo — Regression Models for Data Science in R: Statistical inference for data science.

Julian James Faraway — Linear Models With R

Sanford Weisberg — Applied Linear Regression

John P. Hoffmann — Regression Models for Categorical, Count, and Related Variables: An Applied Approach

Sanford Weisberg — Applied Linear Regression

Samprit Chatterjee, Jeffrey S. Simonoff — Handbook of Regression Analysis With Applications in R, Second Edition

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley — Multilevel Modeling Using R (Second Edition)

Julian James Faraway — Linear Models With R (Second Edition)

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley — Multilevel Modeling Using R

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley — Multilevel Modeling Using R

Julian James Faraway — Extending The Linear Model With R (Second Edition)

Julian James Faraway — Extending The Linear Model With R (Second Edition)

Song S. Qian — Environmental and Ecological Statistics with R, Second Edition

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