Automobile Models

L'Automobile Magazine Hors-Série - mars 2018  Magazines

Posted by Hawk2X at March 30, 2018
L'Automobile Magazine Hors-Série - mars 2018

L'Automobile Magazine Hors-Série - mars 2018
French | 260 pages | True PDF | 87.3 MB

Animal Models of Human Inflammatory Skin Diseases (Repost)  eBooks & eLearning

Posted by DZ123 at April 19, 2018
Animal Models of Human Inflammatory Skin Diseases (Repost)

Lawrence S. Chan, "Animal Models of Human Inflammatory Skin Diseases"
English | 2003 | ISBN: 0849313910 | PDF | pages: 586 | 12.5 mb
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch by Vishnu Subramanian
English | 23 Feb. 2018 | ISBN: 1788624335 | 262 Pages | EPUB | 17.23 MB

Trade Theory in Computable General Equilibrium Models  eBooks & eLearning

Posted by hill0 at April 18, 2018
Trade Theory in Computable General Equilibrium Models

Trade Theory in Computable General Equilibrium Models: Armington, Krugman and Melitz (Advances in Applied General Equilibrium Modeling) by Peter B. Dixon
English | 9 May 2018 | ISBN: 9811083231 | 204 Pages | PDF (True) | 4.24 MB

Introduction to ML Classification Models using scikit-learn  eBooks & eLearning

Posted by naag at April 18, 2018
Introduction to ML Classification Models using scikit-learn

Introduction to ML Classification Models using scikit-learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 994 MB
Genre: eLearning | Language: English

Stochastic Models for Time Series  eBooks & eLearning

Posted by AvaxGenius at April 17, 2018
Stochastic Models for Time Series

Stochastic Models for Time Series By Paul Doukhan
English | PDF,EPUB | 2018 | 321 Pages | ISBN : 3319769375 | 9.74 MB

This book presents essential tools for modelling non-linear time series. The first part of the book describes the main standard tools of probability and statistics that directly apply to the time series context to obtain a wide range of modelling possibilities. Functional estimation and bootstrap are discussed, and stationarity is reviewed. The second part describes a number of tools from Gaussian chaos and proposes a tour of linear time series models.

Data Analysis Using Hierarchical Generalized Linear Models with R  eBooks & eLearning

Posted by readerXXI at April 16, 2018
Data Analysis Using Hierarchical Generalized Linear Models with R

Data Analysis Using Hierarchical Generalized Linear Models with R
by Youngjo Lee and Lars Ronnegard
English | 2017 | ISBN: 1138627828 | 334 Pages | ePUB | 6.5 MB

Ship Models  eBooks & eLearning

Posted by tarantoga at April 14, 2018
Ship Models

Charles G. Davis, "Ship Models"
ISBN: 0486251705 | 1986 | EPUB | 192 pages | 9 MB
The SAGE Handbook of Personality Theory and Assessment: Personality Theories and Models (Volume 1)

The SAGE Handbook of Personality Theory and Assessment: Personality Theories and Models (Volume 1) by Gregory J Boyle, Gerald Matthews, Donald H Saklofske
English | 2008 | ISBN: 1412946514 | 808 Pages | PDF | 7.5 MB

A definitive, authoritative and up-to-date resource for anyone interested in the theories, models and assessment methods used for understanding the many factes of Human personality and individual differences

Linear Models in Matrix Form: A Hands-On Approach for the Behavioral Sciences  eBooks & eLearning

Posted by AvaxGenius at April 14, 2018
Linear Models in Matrix Form: A Hands-On Approach for the Behavioral Sciences

Linear Models in Matrix Form: A Hands-On Approach for the Behavioral Sciences By Jonathon D. Brown
English | EPUB | 2014 | 536 Pages | ISBN : 3319117335 | 3.95 MB

This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear regression, as well as maximum likelihood estimation, matrix decompositions, nonparametric smoothers and penalized cubic splines.