Business Forecasting - The Emerging Role of Artificial Intelligence and Machine Learning | 7.95 MB
English | 435 Pages

Title: Business Forecasting
Author: Michael Gilliland;Len Tashman;Udo Sglavo;
Year: 2021

Peixeiro M Time Series Forecasting in Python 2022 Fix | 22.51 MB
English | 458 Pages

Title: Time Series Forecasting in Python
Author: Marco Peixeiro
Year: 2015

Hybrid Advanced Techniques for Forecasting in Energy Sector by Wei-Chiang Hong
English | PDF | 2018 | 252 Pages | ISBN : 3038972908 | 104.83 MB
Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always complicated by factors such as seasonality, cyclicity, fluctuation, dynamic nonlinearity, and so on.

Last updated 11/2020
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Language: English | Size: 1020.49 MB | Duration: 1h 53m
**Template Included** Learn how to use Excel to forecast and budget in your service business. Learn the Ins and Outs

Dr Luis Willumsen, "Better Traffic and Revenue Forecasting"
English | 2014 | ISBN: 0992843308 | ASIN: B00MJ5YVAO | EPUB | pages: 278 | 6.4 mb
Demand and revenue forecasting for transport concessions has an inconsistent track record. There are several reasons for this: a possible optimism bias, the inherent uncertainty in any forecast, limited data and a poor choice of modelling tools. Therefore any better approach must acknowledge these constraints from the outset and be adapted to deal with revenue risk. This book addresses these issues on the basis of 20 years of international experience producing Traffic and Revenue projections for a range of transport concessions: Toll Roads, Managed Lanes, LRT, BRT, Metro and Rail projects with involvement of the private sector. It includes an additional chapter on Congestion Charging. The book is divided into three parts. Part I covers the context for the participation of the private sector and the requirements posed for demand forecasting. Part II is more technical and describes the strengths and limitations of the modelling tools used in both conventional and Traffic and Revenue forecasting models; it deals with issues like induced traffic, destination, mode and time of travel choice and, of course, discusses assignment in detail; willingness to pay is central to this part. Part III covers the practice of producing forecasts for different types of concessions: sound assumptions, modelling price and means of payment, growth models, treatment of congestion and travel time reliability, optimal pricing, annualisation, inflation and tariff escalation. This part also deals with the critical issue of future uncertainty with suggestions for peer reviews, sensitivity test, risk analysis and scenario planning. The book should be of interest to professionals working in procuring authorities preparing a transport concession, consortia bidding for such projects and financial specialists seeking to get a better understanding of the techniques used for Traffic and Revenue forecasting. Planners developing projects where price and revenue risk are important will also gain useful insights. The text contains a large number of tables and figures, all in colour, and suggestions on writing a good Final Report. A website,www.bettertandr.com, complements the book. About the author Dr. Luis (Pilo) Willumsen has 15 years of experience in transport teaching and research plus two decades producing traffic and revenue projections for more than 50 different private sector projects in over 30 countries. He is co-author of Modelling Transport, a Wiley text describing the state of the art in the field and now in its fourth edition; he has also made some helpful contributions to modelling and forecasting techniques. He is currently an independent consultant and a Visiting Professor at University College London.

River Ice Processes and Ice Flood Forecasting: A Guide for Practitioners and Students by Karl-Erich Lindenschmidt
English | EPUB | 2020 | 275 Pages | ISBN : 3030286789 | 111.2 MB
This book exposes practitioners and students to the theory and application of river and lake ice processes to gain a better understanding of these processes for modelling and forecasting. It focuses on the following processes of the surface water ice: freeze-up, ice cover thickening, ice cover breakup and ice jamming.

Practical Business Forecasting By
2002 | 510 Pages | ISBN: 0631220658 | PDF | 4 MB
Stressing the concrete applications of economic forecasting, Practical Business Forecasting is accessible to a wide-range of readers, requiring only a familiarity with basic statistics. The text focuses on the use of models in forecasting, explaining how to build practical forecasting models that produce optimal results. In a clear and detailed format, the text covers estimating and forecasting with single and multi- equation models, univariate time-series modeling, and determining forecasting accuracy. Additionally, case studies throughout the book illustrate how the models are actually estimated and adjusted to generate accurate forecasts. After reading this text, students and readers should have a clearer idea of the reasoning and choices involved in building models, and a deeper foundation in estimating econometric models used in practical business forecasting.Content: Chapter 1 Choosing the Right Type of Forecasting Model (pages 1-28): Chapter 2 Useful Tools for Practical Business Forecasting (pages 29-63): Chapter 3 The General Linear Regression Model (pages 66-99): Chapter 4 Additional Topics for Single?Equation Regression Models (pages 100-144): Chapter 5 Forecasting with A Single?Equation Regression Model (pages 145-183): Chapter 6 Elements of Univariate Time?Series Methods (pages 185-224): Chapter 7 Univariate Time?Series Modeling and Forecasting (pages 225-269): Chapter 8 Combining Forecasts (pages 272-310): Chapter 9 Building and Presenting Short?Term Sales Forecasting Models (pages 311-354): Chapter 10 Methods of Long?Term Forecasting (pages 355-400): Chapter 11 Simultaneous?Equation Models (pages 401-442): Chapter 12 Alternative Methods of Macroeconomic Forecasting (pages 443-483):

Last updated 11/2021
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Language: English | Size: 2.11 GB | Duration: 2h 49m

Last updated 10/2020
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Language: English | Size: 997.02 MB | Duration: 1h 7m

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Language: English | Size: 422 MB | Duration: 1h 12m
Make a predictive XGBoost model for churn and generate predictions for an out-of-sample dataset.
https://www.oreilly.com/library/view/fighting-churn-churn/10000MNCS2022135/