The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life examples of how business analytics have been used in various aspects of organizations to solve issues or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. The new edition includes chapters on clusters and associations and text mining to support predictive models. An additional case is also included that can be used with each chapter or as a semester project.

This book explores the relationship between conversation analysis and applied linguistics, demonstrating how the analysis of institutional talk can contribute to professional practice. With a foreword by Paul Drew, the core of the collection deals with topics as diverse as speech therapy and retailing; radio journalism and cross-cultural training.

This book examines the application of risk-sharing finance as a national economic policy in history and how it stimulated economic recovery during a short period in Germany between 1933 and 1935. Economic history indicates that risk-sharing instruments have promoted socio-economic development in many parts of the world while risk-shifting methods have imposed huge socio-economic costs on many nations, leading to debt slavery on individual members. This book highlights lessons to be learned from history and argues that risk-sharing is a powerful tool for generating rapid economic recovery and resumption of growth.

Find Mortgages 101 by David Reed in Paperback and other formats in Business & Economics > Real Estate - Mortgages.

This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent groups with anchor test design. The R packages equate, kequate and SNSequate, among others, are used to practically illustrate the different methods, while simulated and real data sets illustrate how the methods are conducted with the program R. The book covers traditional equating methods including, mean and linear equating, frequency estimation equating and chain equating, as well as modern equating methods such as kernel equating, local equating and combinations of these. It also offers chapters on observed and true score item response theory equating and discusses recent developments within the equating field. More specifically it covers the issue of including covariates within the equating process, the use of different kernels and ways of selecting bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating functions. It also illustrates how to evaluate equating in practice using simulation and different equating specific measures such as the standard error of equating, percent relative error, different that matters and others.

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