Inference 2016

Synopsys Synplify with Design Planner L-2016.03-SP1  Software

Posted by scutter at Feb. 12, 2017
Synopsys Synplify with Design Planner L-2016.03-SP1

Synopsys Synplify with Design Planner L-2016.03-SP1 | 2.8 Gb

Synopsys, Inc., a world leader in software and IP used in the design, verification and manufacture of electronic components and systems, has released Service Pack 01 for Synplify L-2016.03. This software delivers faster runtimes, better performance, and accelerated development of high reliability and functional safety applications

Topics on Methodological and Applied Statistical Inference  eBooks & eLearning

Posted by ksveta6 at Jan. 11, 2017
Topics on Methodological and Applied Statistical Inference

Topics on Methodological and Applied Statistical Inference (Studies in Theoretical and Applied Statistics) by Tonio Di Battista, Elías Moreno, Walter Racugno
2016 | ISBN: 3319440926 | English | 220 pages | PDF | 7 MB

A Concise Introduction to Statistical Inference  eBooks & eLearning

Posted by viserion at Dec. 31, 2016
A Concise Introduction to Statistical Inference

Jacco Thijssen, "A Concise Introduction to Statistical Inference"
ISBN: 1498755771 | 2016 | PDF | 228 pages | 7 MB

Bayesian Inference: Data Evaluation and Decisions, 2 edition  eBooks & eLearning

Posted by interes at Nov. 24, 2016
Bayesian Inference: Data Evaluation and Decisions, 2 edition

Bayesian Inference: Data Evaluation and Decisions, 2 edition by Hanns Ludwig Harney
English | 2016 | ISBN: 3319416421 | 243 pages | PDF | 4,3 MB

New Developments in Statistical Modeling, Inference and Application  eBooks & eLearning

Posted by Underaglassmoon at Nov. 2, 2016
New Developments in Statistical Modeling, Inference and Application

New Developments in Statistical Modeling, Inference and Application
Springer | Statistics | November 22, 2016 | ISBN-10: 3319425706 | 214 pages | pdf | 6.9 mb

Editors: Jin, Zhezhen, Liu, Mengling, Luo, Xiaolong (Eds.)
Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR
The most timely and advanced contributions from the joint 2014 ICSA/KISS Applied Statistics Symposium
All papers feature original, peer-reviewed content
Coverage consists of new developments in statistical modeling and clinical research including model development, model checking, and innovative clinical trial design and analysis

Logic of Statistical Inference  eBooks & eLearning

Posted by arundhati at Oct. 16, 2016
Logic of Statistical Inference

Ian Hacking, "Logic of Statistical Inference"
2016 | ISBN-10: 1107144957, 1316508145 | 226 pages | PDF | 2 MB

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science  eBooks & eLearning

Posted by arundhati at Oct. 1, 2016
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

Bradley Efron, Trevor Hastie, "Computer Age Statistical Inference: Algorithms, Evidence, and Data Science"
2016 | ISBN-10: 1107149894 | 491 pages | PDF | 4 MB

Topics in Grammatical Inference  eBooks & eLearning

Posted by arundhati at July 20, 2016
Topics in Grammatical Inference

Jeffrey Heinz, José M. Sempere, "Topics in Grammatical Inference"
2016 | ISBN-10: 3662483939 | 268 pages | PDF | 5 MB

JetBrains PhpStorm 2016.2 (Win/Mac)  Software

Posted by Givaraa at July 14, 2016
JetBrains PhpStorm 2016.2 (Win/Mac)

JetBrains PhpStorm 2016.2 (Win/Mac) | 206 MB | 235 MB

PhpStorm is a PHP IDE that actually ‘gets’ your code. It supports PHP 5.3/5.4/5.5/5.6/7.0, provides on-the-fly error prevention, best autocompletion & code refactoring, zero configuration debugging, and an extended HTML, CSS, and JavaScript editor.

Examples in Parametric Inference with R  eBooks & eLearning

Posted by Underaglassmoon at May 24, 2016
Examples in Parametric Inference with R

Examples in Parametric Inference with R
Springer | Statistical Theory and Methods | June 21, 2016 | ISBN-10: 9811008884 | 529 pages | pdf | 3.97 mb

Authors: Dixit, Ulhas Jayram
Exclusively focuses on statistical inference
Presents sophisticated mathematical proofs in a simple and easy-to-follow language
Discusses fundamental topics common to many fields of statistical inference, and which offer a point of departure for in-depth study