Applied Modeling Forecasting by Al Eideh Basel (9 results)

Condition: New.

Paperback. Condition: Brand New. 416 pages. 8.66x5.91x0.94 inches. In Stock.

Taschenbuch. Condition: Neu. Applied Modeling and Forecasting | Basel M. Al-Eideh | Taschenbuch | 416 S. | Englisch | 2017 | Scholars' Press | EAN 9783659845901 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 416 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Eideh Basel M.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 r.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 areasVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 416 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.