Forecasting Oracle Performance

Forecasting Oracle Performance is the first Oracle-specific book to assist DBAs with forecasting future performance of new and existing database systems. It shows you how to create a model of a databa

This book offers a systematic approach to addressing poor performance of applications based on Oracle, and explains how the database engine processes SQL statements. Sections cover foundations, identi

A data-driven, fact-based, quantitative text on Oracle performance and scalabilityWith database concepts and theories clearly explained in Oracle's context, readers quickly learn how to fully leverage

* Only book on the market to actually show you how to build an Oracle RAC cluster on Linux. * Author expertise & quality: Steve Shaw's Hammerora project is one of the most visited sites in SourceForge

As real estate forms a significant part of the asset portfolios of most investors and lenders, it is crucial that analysts and institutions employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this book introduces and explains a broad range of quantitative techniques that are relevant for the analysis of real estate data. It includes numerous detailed examples, giving readers the confidence they need to estimate and interpret their own models. Throughout, the book emphasises how various statistical techniques may be used for forecasting and shows how forecasts can be evaluated. Written by a highly experienced teacher of econometrics and a senior real estate professional, both of whom are widely known for their research, Real Estate Modelling and Forecasting is the first book to provide a practical introduction to the econometric analysis of real estate for students and practitioners.

Contributors from business and economics investigate the accuracy and dynamic performance of a high-frequency forecast model for the Japanese and US economies based on the Current Quarter Model, or

A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing th

Improve the performance of relational databases with indexes designed for today's hardware Over the last few years, hardware and software have advanced beyond all recognition, so it's hardly surprisi

A book on practical business forecasting belongs in the library of everyone interested in business. Forecasting is extremely important to finance and accounting executives, business economists and man

In the face of relentless pressure to do things faster, this book facilitates rapid forecasting of capacity requirements, based on opportunistic use of available performance data and tools so that man

This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that o