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A Primer In Data Reduction

A concise, easy to understand introduction that emphasizes the relevance of statistics to real world problems. Describes traditional;

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Robust Methods for Data Reduction

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these;

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Robust Methods for Data Reduction

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these;

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Sufficient Dimension Reduction

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data;

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Sufficient Dimension Reduction

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data;

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Nuclear Data: A primer

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Model Reduction of Complex Dynamical Systems

This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on;

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Data Reduction and Error Analysis for the Physical Sciences

and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation;

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EU GDPR

ideal resource for anyone wanting a clear, concise primer on data protection.;

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Multilinear Subspace Learning

Reduction of Multidimensional Data gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality;

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Sufficient Dimension Reduction for the Conditional Kth Moment

reduction is tailored for such special targets. This text provides a general treatment of sufficient dimension reduction for the conditional kth;

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Interpolatory Methods for Model Reduction

over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks. This;

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Nonlinear Dimensionality Reduction Techniques

This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and;

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The R Primer

of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems;

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Assessing Federal Research and Development for Hazard Loss Reduction

. Improving loss data and modeling and a establishing more thoughtful framework for the role of research would help policymakers formulate a more;

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A Primer on Experiments with Mixtures

book on the topic, A Primer on Experiments with Mixtures provides an introductory presentation of the key principles behind experimenting with;

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Applied Multivariate Statistics With Sas Software, Second Edition + Multivariate Data Reduction And Discrimination With Sas Software Set

This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data;

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The Impact of Micro and Small Scale Enterprises on Poverty Reduction

policy tool for poverty reduction. This study has examined the impact of MSSEs for poverty reduction in Hawassa City. The data used in the study;

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A Pharmacology Primer

A Pharmacology Primer: Techniques for More Effective and Strategic Drug Discovery, 4th Edition features the latest ideas and research;

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A Primer in Longitudinal Data Analysis

of research, making clear: how to design a longitudinal study; how to collect data most effectively; how to make the best use of statistical;

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Advanced Digital Signal Processing and Noise Reduction

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory;

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The Quick Changeover Playbook

This book covers the basics of setup reduction and quick changeover and data collection. It outlines the first pass of waste reduction;

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Social Network Analysis

Knoke and Yang's handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and;

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R Primer

of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems;

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Implementing Enterprise Data Warehousing

Designing complex analytical data structures is difficult enough, but to do it for an entire enterprise becomes a real challenge. This;

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Data Mining

This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded;

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A Primer in Financial Data Management

A Primer in Financial Data Management describes concepts and methods, considering financial data management, not as a technological;

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