Building Models For Marketing Decisions

Pro Excel Financial Modeling: Building Models for Technology Startups-repost  eBooks & eLearning

Posted by rwdfox at Oct. 29, 2012
Pro Excel Financial Modeling: Building Models for Technology Startups-repost

Tom Y. Sawyer, "Pro Excel Financial Modeling: Building Models for Technology Startups"
A..s (3-2009) | PDF | 304 pages | ISBN: 1430218983 | 11.4Mb

Pro Excel Financial Modeling: Building Models for Technology Startups  eBooks & eLearning

Posted by tot167 at July 1, 2009
Pro Excel Financial Modeling: Building Models for Technology Startups

Tom Y. Sawyer, "Pro Excel Financial Modeling: Building Models for Technology Startups"
Apress | 2009 | ISBN: 1430218983 | 304 pages | PDF | 10,8 MB

Quantitative Models in Marketing Research  eBooks & eLearning

Posted by alt_f4 at Sept. 15, 2015
Quantitative Models in Marketing Research

Quantitative Models in Marketing Research by Richard Paap
English | Aug. 27, 2001 | ISBN: 0521801664 | 222 Pages | PDF | 1 MB

This book presents the most important and practically relevant quantitative models for marketing research. Each model includes a demonstration of the mechanics of the model, empirical analysis, real world examples, and an interpretation of results and findings.

Introduction to Financial Models for Management and Planning, Second Edition  eBooks & eLearning

Posted by interes at June 25, 2017
Introduction to Financial Models for Management and Planning, Second Edition

Introduction to Financial Models for Management and Planning, Second Edition by James R. Morris and John P. Daley
English | 2017 | ISBN: 1498765033 | 667 pages | PDF | 78,5 MB

Polymer Nanofibers: Building Blocks for Nanotechnology (repost)  eBooks & eLearning

Posted by libr at June 21, 2017
Polymer Nanofibers: Building Blocks for Nanotechnology (repost)

Polymer Nanofibers: Building Blocks for Nanotechnology by Dario Pisignano, Paul O'Brien, Harry Kroto and Ralph Nuzzo
English | ISBN: 1849735743 | 2013 | 300 pages | PDF | 22 MB

Markov Models for Handwriting Recognition  eBooks & eLearning

Posted by AvaxGenius at June 21, 2017
Markov Models for Handwriting Recognition

Markov Models for Handwriting Recognition By Thomas Plötz, Gernot A. Fink
English | PDF | 2011 | 82 Pages | ISBN : 1447121872 | 1.2 MB

Since their first inception more than half a century ago, automatic reading systems have evolved substantially, thereby showing impressive performance on machine-printed text. The recognition of handwriting can, however, still be considered an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition.

Inference and Intervention: Causal Models for Business Analysis  eBooks & eLearning

Posted by interes at June 14, 2017
Inference and Intervention: Causal Models for Business Analysis

Inference and Intervention: Causal Models for Business Analysis by Michael D. Ryall and Aaron L. Bramson
English | 2013 | ISBN-10: 0415657598, 0415657601 | 280 pages | EPUB | 4,5 MB

Inference and Intervention: Causal Models for Business Analysis  eBooks & eLearning

Posted by arundhati at June 13, 2017
Inference and Intervention: Causal Models for Business Analysis

Michael D. Ryall, Aaron L. Bramson, "Inference and Intervention: Causal Models for Business Analysis"
2013 | ISBN-10: 0415657598, 0415657601 | 280 pages | PDF | 6 MB

Elevation Models for Geoscience: Special Publication 345 (repost)  eBooks & eLearning

Posted by libr at June 9, 2017
Elevation Models for Geoscience: Special Publication 345 (repost)

Elevation Models for Geoscience: Special Publication 345 (Geological Society Special Publication) by C. Fleming, S. H. Marsh and M. C. Cabrera
English | ISBN: 1862393133 | 2010 | PDF | 146 pages | 7,6 MB

Form Versus Function: Theory and Models for Neuronal Substrates  eBooks & eLearning

Posted by Jeembo at June 3, 2017
Form Versus Function: Theory and Models for Neuronal Substrates

Form Versus Function: Theory and Models for Neuronal Substrates by Mihai Alexandru Petrovici
English | 2016 | ISBN: 3319395513 | 374 Pages | PDF | 47.8 MB

This thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data? The author addresses these questions with the rigorous language of mathematics and theoretical physics, an approach that requires a high degree of abstraction to transfer results of wet lab biology to formal models.