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PDF CHM Books Catalogue


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Posted: May 21st, 2008, 10:55am CEST

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In this second edition of the indispensable SAS for Forecasting Time Series, Brocklebank and Dickey show you how SAS performs univariate and multivariate time series analysis. Taking a tutorial approach, the authors focus on the procedures that most effectively bring results: the advanced procedures ARIMA, SPECTRA, STATESPACE, and VARMAX. They demonstrate the interrelationship of SAS/ETS procedures with a discussion of how the choice of a procedure depends on the data to be analyzed and the results desired. With this book, you will learn to model and forecast simple autoregressive (AR) processes using PROC ARIMA, and you will learn to fit autoregressive and vector ARMA processes using the STATESPACE and VARMAX procedures. Other topics covered include detecting sinusoidal components in time series models, performing bivariate cross-spectral analysis, and comparing these frequency-based results with the time domain transfer function methodology. New and updated examples in the second edition include retail sales with seasonality, ARCH models for stock prices with changing volatility, vector autoregression and cointegration models, intervention analysis for product recall data, expanded discussion of unit root tests and nonstationarity, and expanded discussion of frequency domain analysis and cycles in data.

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Posted: May 21st, 2008, 6:55am CEST

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A web mashup is a new type of web application that uses data and services from one or more external sources to build entirely new and different web applications. Web mashups usually mash up data and services that are available on the Internet—freely, commercially, or through other partnership agreements. The external sources that a mashup uses are known as mashup APIs.

This book shows you how to write web mashups using Ruby on Rails—the new web application development framework. The book has seven real-world projects—the format of each project is similar, with a statement of the project, discussion of the main protocols involved, an overview of the API, and then complete code for building the project. You will be led methodically through concrete steps to build the mashup, with asides to explain the theory behind the code.

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