Author: Gordon McLeodPublisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Box-Jenkins in Practice
Author: Gordon McLeodForecasting with Univariate Box - Jenkins Models
Author: Alan PankratzPublisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 584
Book Description
Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another.
Box-Jenkins in Practice
Author: Gordon MacLeodPublisher:
ISBN:
Category : Prediction theory
Languages : en
Pages :
Book Description
Box-Jenkins in Practice
Author: Box-Jenkins in Practice
Author: G. Mac LeodTime Series Analysis: Forecasting & Control, 3/E
Author: Publisher: Pearson Education India
ISBN: 9788131716335
Category :
Languages : en
Pages : 620
Book Description
This is a complete revision of a classic, seminal, and authoritative text that has been the model for most books on the topic written since 1970. It explores the building of stochastic (statistical) models for time series and their use in important areas of application -forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Author: Abdulkader AljandaliPublisher: Springer
ISBN: 3319564811
Category : Business & Economics
Languages : en
Pages : 185
Book Description
This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics such as Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS).
Forecasting: principles and practice
Author: Rob J HyndmanPublisher: OTexts
ISBN: 0987507117
Category : Business & Economics
Languages : en
Pages : 380
Book Description
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Forecasting with Univariate Box - Jenkins Models
Author: Alan PankratzPublisher: John Wiley & Sons
ISBN: 0470317272
Category : Mathematics
Languages : en
Pages : 576
Book Description
Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another.
Author: Gordon McLeod