Autocorrelated data

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  • This book aims to provide a concise account of the essential elements of quality control. It is designed to be used as a text for courses on quality control for students of industrial engineering at the advanced undergraduate, or as a reference for researchers in related fields seeking a concise treatment of the key concepts of quality control. It is intended to give a contemporary account of procedures used to design quality models.

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  • The aim of this textbook is to provide a step-by-step guide to financial econometrics using EViews 6.0 statistical package. It contains brief overviews of econometric concepts, models and data analysis techniques followed by empirical examples of how they can be implemented in EViews. This book is written as a compendium for undergraduate and graduate students in economics and finance. It also can serve as a guide for researchers and practitioners who desire to use EViews for analysing financial data.

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  • Chapter 16 - Time series and forecasting. When you have completed this chapter, you will be able to: Define the components of a time series, compute moving average, determine a linear trend equation, compute a trend equation for a nonlinear trend, use a trend equation to forecast future time periods and to develop seasonally adjusted forecasts, determine and interpret a set of seasonal indexes, deseasonalize data using a seasonal index, test for autocorrelation.

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