PRACTICAL TIME SERIES FORECASTING WITH R is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an important component of decision making in a wide range of areas and across many business functions including economic forecasting, workload projections, sales forecasts, and transportation demand. Forecasting is widely used also outside of business, such as in demography and climatology. The book introduces readers to the most popular statistical models and data mining algorithms used in practice. It covers issues relating to different steps of the forecasting process, from goal definition through data collection, visualization, pre-processing, modeling, performance evaluation to implementation and communication. PRACTICAL TIME SERIES FORECASTING WITH R is suitable for courses on forecasting at the upper-undergraduate and graduate levels. It offers clear explanations, examples, end-of-chapter problems and cases. Methods are illustrated using the free and open-source software R.

Practical Time Series Forecasting with R: A Hands-On Guide

Business & Money

Shmueli, Galit

Lichtendahl, Jr Kenneth C.

Management & Leadership

Axelrod Schnall Publishers

Practical Time Series Forecasting: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the Excel® add-in XLMiner® to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Third Edition also includes: <ul>
<li>Popular forecasting methods including smoothing algorithms, regression models, and neural networks</li>
<li>A practical approach to evaluating the performance of forecasting solutions</li>
<li>A business-analytics exposition focused on linking time-series forecasting to business goals</li>
<li>Guided cases for integrating the acquired knowledge using real data</li>
<li>End-of-chapter problems to facilitate active learning</li>
<li>A companion site with data sets, learning resources, and instructor materials (solutions to exercises, case studies, and slides)</li>
<li>Globally-available textbook, available in both softcover and Kindle formats </li>
</ul>
Practical Time Series Forecasting: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.For more information, visit forecastingbook.com

Practical Time Series Forecasting: A Hands-On Guide [3rd Edition]

New to the second edition: A section on Acceptance-on-Zero plans, additional screenshots from the newly-designed SQCOnline.com with several new calculators, and improved book design for enhanced readability.Practical Acceptance Sampling is a hands-on introduction to the inspection of products and services for quality assurance using statistically-based sampling plans.  In today’s era of global supply chains, the path from raw materials to final product often takes place over multiple companies and across multiple continents. Acceptance sampling is key in the 21st century environment. Acceptance sampling plans provide criteria and decision rules for determining whether to accept or reject a batch based on a sample. They are therefore widely used by manufacturers, suppliers, contractors and subcontractors, and service providers in a wide range of industries.  The book introduces readers to the most popular sampling plans, including Military Standards and civilian ISO and ANSI/ASQC/BS standards. It covers the design, choice and performance evaluation of different types of plans, including single- and double-stage plans, rectifying and non-rectifying plans, plans for pass/fail and continuous measurements, continuous sampling plans, and more.  Practical Acceptance Sampling is suitable for courses on quality control and for quality practitioners with basic knowledge of statistics. It offers clear explanations, examples, end-of-chapter problems, and illustrations of state-of-the-art online resources. Methods are illustrated using Microsoft Excel, online calculators, and SQCOnline.com. However, any statistical software can be used with the book.  A companion website to the book is available at www.SamplingBook.com

Practical Acceptance Sampling: A Hands-On Guide [2nd Edition] (Practical Analytics)

Projects are investments of resources for achieving a particular objective or set of objectives. Resources include time, money, manpower, and sometimes lives. Objectives include financial gain, social and health benefits, national goals, educational and scientific achievements, and reduction of suffering, among many others. Projects are undertaken by large and small organizations, by governments, non-profit organizations, private businesses, and by individuals. Determining whether to execute a project, or which project to execute among a set of possibilities is often a challenge with high stakes. Assessing the potential outcomes of a project can therefore be detrimental, leading to the importance of making informative decisions.Practical Risk Analysis for Project Planning is a hands-on introduction to integrating numerical data and domain knowledge into popular spreadsheet software such as Microsoft Excel or Google Spreadsheets, to arrive at informed project-planning decisions. The focus of the book is on formalizing domain expertise into numerical data, providing tools for assessing potential project performance, and evaluating performance under realistic uncertainty.The book introduces basic principles for assessing potential project performance and risk under different scenarios, by addressing uncertainty that arises at different levels. It describes measures of expected performance and risk, presents approaches such as scenario building and Monte Carlo simulation for addressing uncertainty, and introduces methods for comparing competing projects and reducing risk via project portfolios.No special software is required except Excel or another spreadsheet software. While the book assumes no knowledge of statistics, operations research, or management science, it does rely on basic familiarity with Excel. Chapter exercises and examples of real projects are aimed at hands-on learning.For more information visit RiskAnalysisBook.com

Practical Risk Analysis for Project Planning: A Hands-On Guide using Excel (Practical Analytics)

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes:
<ul>
<li>Popular forecasting methods including smoothing algorithms, regression models, and neural networks</li>
<li>A practical approach to evaluating the performance of forecasting solutions</li>
<li>A business-analytics exposition focused on linking time-series forecasting to business goals</li>
<li>Guided cases for integrating the acquired knowledge using real data</li>
<li> End-of-chapter problems to facilitate active learning</li>
<li>A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)Globally-available textbook, available in both softcover and Kindle formats </li>
</ul>
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.For more information, visit forecastingbook.com

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Practical Analytics)

Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes: <ul>
<li>Popular forecasting methods including smoothing algorithms, regression models, and neural networks</li> <li>A practical approach to evaluating the performance of forecasting solutions</li> <li>A business-analytics exposition focused on linking time-series forecasting to business goals</li> <li>Guided cases for integrating the acquired knowledge using real data</li> <li>End-of-chapter problems to facilitate active learning</li> <li>A companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)</li> <li>Globally-available textbook, available in both softcover and Kindle formats</li> </ul>
Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. For more information, visit forecastingbook.com

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition]

Practical Time Series Forecasting: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes: <ul>
<li>Popular forecasting methods including smoothing algorithms, regression models, and neural networks</li> <li>A practical approach to evaluating the performance of forecasting solutions</li> <li>A business-analytics exposition focused on linking time-series forecasting to business goals</li> <li>Guided cases for integrating the acquired knowledge using real data</li> <li>End-of-chapter problems to facilitate active learning</li> <li>A companion site with data sets, learning resources, and instructor materials (solutions to exercises, case studies)</li> <li>Globally-available textbook, available in both softcover and Kindle formats</li> </ul>
Practical Time Series Forecasting: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. For more information, visit forecastingbook.com

Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition]

Polak, Julia

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Books by Axelrod Schnall Publishers

See the best price to sell, buy or rent books by the Axelrod Schnall Publishers publisher. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Practical Time Series Forecasting with R: A Hands-On Guide

Practical Time Series Forecasting: A Hands-On Guide [3rd Edition]

Practical Acceptance Sampling: A Hands-On Guide [2nd Edition] (Practical Analytics)

Practical Risk Analysis for Project Planning: A Hands-On Guide using Excel (Practical Analytics)

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition] (Practical Analytics)

Practical Time Series Forecasting with R: A Hands-On Guide [2nd Edition]

Practical Time Series Forecasting: A Hands-On Guide [3rd Edition]

Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition]