Time series analysis: forecasting and control BOX JENKINS
Publisher: Prentice-Hall

For Microsoft Excel makes sense of time series analysis: Build, validate, rank models, and forecast right in Excel; Keep the data, analysis and models linked together; Make and track changes instantly; Share your results by sending just one file. 2.3 Advanced Capability Analysis. Http://www.botas.gov.tr/icerik/docs/faalrapor/2007/fr2007_full.pdf. Original:https://wiki.pentaho.com/display/DATAMINING/Time+Series+Analysis+and+Forecasting+with+Weka Contents 1 Introduction 2 Requirements 3 Using the Time Series Environment 3.1 Basic Configuration 3.1.2 Basic parameters. At the top right of the basic configuration panel is an area with several simple parameters that control the behavior of the forecasting algorithm. 2.2.6 Pre-Control Chart 2.2.7 Cases and examples. Some authors (eg Various authors (eg Graves, 1999; Lee et al, 2000; Alwan et al, 2003; Hosoda and Disney, 2006) have used auto-correlated time-series structures to analyze how the order process behaves at different levels of the supply chain. 2.3.1 Capability Analysis for Weibull data 2.3.2 Capability Analysis for Poisson data 2.3.3 Capability Analysis for Binomial data. Time Series Analysis, Forecasting and Control, San Francisco: Holden-Day (revised edn. 2.4.1 Stepwise Method 2.4.2 Logistic Regression. The upstream members forecast by incorporating the less variable downstream demand, resulting in lower inventory holdings and inventory cost. 2.4 Advance Regression Analysis. Time Series Analysis: Forecasting And Control.