Applied Modeling and Forecasting

This existing title develops the users understanding of using the modeling methods and forecasting and their applications in an accessible way. It is about modeling as much information as possible about the past, present and future so that more effective plans can be made. This book is presents a comprehensive work to students and researchers to develop their skills to use modeling techniques and forecasting using the available statistical packages such as Minitab, SPSS, EViews, Excel, and others in order to be able to draw conclusions regarding business activities. It can be considered as an introduction to applied time series modeling for analysts who have minimum experience in model building, but are not very familiar with time series models. It helps to have a basic understanding of forecasting methods and takes experience to develop an ability to formulate appropriate statistical models and to interpret the results. This book will be a very useful reference or text for the undergraduate course in building models and forecasting techniques for business, economics and natural sciences as well as researchers in business, economic, natural sciences and in all related areas

Basel M. Al-Eideh, PhD: Studied Statistics specializing in Applied Probability and Stochastic Process at Colorado State University, USA. Associate Professor, Kuwait University (2000-Present). Published more than 70 research papers in numerous peer-reviewed journals and serves on the Editorial Board of more than 7 International Scientific Journals.