The application of foresight to address the challenges of uncertainty and rapid change has grown dramatically in the past decade. …
Master Deep Time Series Forecasting with Python! Deep Time Series Forecasting with Python takes you on a gentle, fun and …
The liberalization of markets has lead to record levels of international investments. Icon Group Ltd.'s primary mission is to assist …
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became …
Predictive Analytics: Microsoft® Excel Excel predictive analytics for serious data crunchers! The movie Moneyball made predictive analytics famous: Now you …
Table of Contents......Page 5About This Book ......Page 7Beyond the Book......Page 8Where to Go from Here ......Page 9Chapter 1: Understanding Predictive …
Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep …
Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global …
Really comprehensive, in a way a perfect tool for understanding business. It has a great qualitative introduction and a clear …
An insightful look at financial modeling and Monte Carlo simulation using Crystal Ball softwareFinancial Modeling with Crystal Ball and Excel …
This is a complete revision of a classic, seminal, and authoritative book that has been the model for most books …
Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and …
Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence …
Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with …
The book is OK but it falls behind other available texts at comparable or lower prices. I agree with others …
The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time …
Anders Milhøj's Practical Time Series Analysis Using SAS explains and demonstrates through examples how you can use SAS for time …
Written for those who need an introduction,Applied Time Series Analysisreviews applications of the popular econometric analysis technique across disciplines. Carefully …
Perform time series analysis and forecasting confidently with this Python code bank and reference manualKey FeaturesExplore forecasting and anomaly detection …
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Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications …
An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data.Analyzing …
This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of …
Since 1975, The Analysis of Time Series: An Introduction has introduced legions of statistics students and researchers to the theory …
This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the …
Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the …
The field of statistics not only affects all areas of scientific activity, but also many other matters such as public …
This paperback edition is a reprint of the 1991 edition.Time Series: Theory and Methods is a systematic account of linear …
PRACTICAL TIME SERIES FORECASTING WITH R: A HANDS-ON GUIDE, SECOND EDITION provides an applied approach to time-series forecasting. Forecasting is …
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Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a …
