Forecasting

Trends in Social Network Analysis: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment

Trends in Social Network Analysis: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment (Lecture Notes in Social Networks) by Rokia Missaoui
English | 14 May 2017 | ISBN: 331953419X | 255 Pages | PDF | 7.45 MB

The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory,
Trend Forecasting with Intermarket Analysis: Predicting Global Markets with Technical Analysis

Louis B. Mendelsohn, "Trend Forecasting with Intermarket Analysis: Predicting Global Markets with Technical Analysis"
2008 | ISBN: 1592803326 | English | 224 pages | True PDF | 16 MB

Lynda - Sales Forecasting  eBooks & eLearning

Posted by U.N.Owen at April 19, 2017
Lynda - Sales Forecasting

Lynda - Sales Forecasting
Size: 269 MB | Duration: 0h 45m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Sales forecasting is crucial for almost any business, because it affects sales deployment, financial planning, budgeting, operations planning, and marketing planning.

Demand-Driven Forecasting: A Structured Approach to Forecasting  eBooks & eLearning

Posted by arundhati at April 18, 2017
Demand-Driven Forecasting: A Structured Approach to Forecasting

Charles W. Chase Jr. , "Demand-Driven Forecasting: A Structured Approach to Forecasting"
2009 | ISBN-10: 0470415029 | 288 pages | PDF | 10 MB

Future Ready: How to Master Business Forecasting  eBooks & eLearning

Posted by nebulae at April 12, 2017
Future Ready: How to Master Business Forecasting

Steve Morlidge, Steve Player, "Future Ready: How to Master Business Forecasting"
English | 2010 | ISBN: 0470747056 | 328 Pages | PDF | 4 MB
Neural Networks for Time Series Forecasting with R: An Intuitive Step by Step Blueprint for Beginners

Neural Networks for Time Series Forecasting with R: An Intuitive Step by Step Blueprint for Beginners by N.D Lewis
English | 9 Apr. 2017 | ASIN: B06Y5F38P3 | 238 Pages | PDF | 2.01 MB
Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics) by Jan G. De Gooijer
English | 2017 | ISBN: 3319432516 | 618 Pages | PDF | 12.12 MB

Elements of Nonlinear Time Series Analysis and Forecasting  eBooks & eLearning

Posted by AvaxGenius at March 31, 2017
Elements of Nonlinear Time Series Analysis and Forecasting

Elements of Nonlinear Time Series Analysis and Forecasting By Jan G. De Gooijer
English | PDF | 2017 | 626 Pages | ISBN : 3319432516 | 14.34 MB

This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding a “theorem-proof” format, it shows concrete applications on a variety of empirical time series.

CMA Exam 1 Review - Planning. Budgeting& Forecasting- Sec B  eBooks & eLearning

Posted by naag at March 19, 2017
CMA Exam 1 Review - Planning. Budgeting& Forecasting- Sec B

CMA Exam 1 Review - Planning. Budgeting& Forecasting- Sec B
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 38M | Lec: 27 | 289 MB
Genre: eLearning | Language: English

Master the learning objectives that will be tested by the CMA for Part 1 Section B
Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk (Studies in Computational Intelligence) by Fahed Mostafa
English | 20 Mar. 2017 | ISBN: 3319516663 | 184 Pages | PDF | 2.45 MB

This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing,