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  • Exploratory Data Analysis with MATLAB

    Series series Chapman & Hall/CRC Computer Science & Data Analysis
    Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. … accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."—Adolfo Alvarez Pinto, International Statistical Review"Practitioners of EDA who use MATLAB will want a copy of this book. … The authors have done a great service by ... Read more

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  • Who's #1?

    The Science of Rating and Ranking

    The mathematics behind today's most widely used rating and ranking methodsA website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings ... Read more

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  • Statistics

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  • Artificial Intelligence

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  • Introductory Econometrics

    Using Monte Carlo Simulation with Microsoft Excel

    This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) ... Read more

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  • Statistical Data Analytics

    Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual

    Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge DiscoveryA comprehensive introduction to statistical methods for data mining and knowledge discovery.Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, ... Read more

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  • Data Science

    Innovative Developments in Data Analysis and Clustering

    Series series Springer Nature Proceedings excluding Computer Science
    This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth ... Read more

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  • Weight-of-Evidence for Forensic DNA Profiles

    Series series Statistics in Practice
    DNA evidence is widely used in the modern justice system. Statistical methodology plays a key role in ensuring that this evidence is collected, interpreted, analysed and presented correctly. This book is a guide to assessing DNA evidence and presenting that evidence in a courtroom setting. It offers practical guidance to forensic scientists with little dependence on mathematical ability, and ... Read more

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  • Modeling Online Auctions

    Series Book 91 - Statistics in Practice
    Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction dataOnline auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation ... Read more

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  • An Introduction to State Space Time Series Analysis

    Series series Practical Econometrics
    Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented ... Read more

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  • Statistical Learning for Biomedical Data

    Series series Practical Guides to Biostatistics and Epidemiology
    This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines ... Read more

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