Skip to main content
Search Button
United States Kobo store Gift Cards Help

Rakuten Kobo

Wishlist

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...


“chip wells”

Showing 1 - 12 of 12 results for “chip wells”
Skip side bar filters

  • Applied Data Mining for Forecasting Using SAS

    by Tim Rey, Arthur Kordon, Chip Wells ...
    Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, ... Read more

    $47.59 USD

People who read this also enjoyed

  • Seamless R and C++ Integration with Rcpp

    by Dirk Eddelbuettel ...
    Series series Mathematics and Statistics (R0)
    Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management"Seamless R and C++ integration with Rcpp" is ... Read more

    $89.09 USD

  • Applied Statistical Inference

    Likelihood and Bayes

    by Leonhard Held, Daniel Sabanés Bové ...
    Series series Mathematics and Statistics (R0)
    This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist ... Read more

    $62.99 USD

  • Bayesian Networks in R

    with Applications in Systems Biology

    by Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre ...
    Series series Mathematics and Statistics (R0)
    Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on ... Read more

    $89.09 USD

  • Data Science

    Innovative Developments in Data Analysis and Clustering

    Edited by Angela Montanari, Maurizio Vichi, Francesco Palumbo ...
    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

    $116.99 USD

  • Monte Carlo Statistical Methods

    by Christian Robert, George Casella ...
    Series series Mathematics and Statistics (R0)
    Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable ... Read more

    $143.09 USD

  • Business Statistics for Competitive Advantage with Excel 2010

    Basics, Model Building, and Cases

    by Cynthia Fraser ...
    Series series Mathematics and Statistics (R0)
    Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics to provide information on performance response under alternative scenarios. This updated edition of the popular text helps business students develop competitive advantages for use ... Read more

    $80.09 USD

  • An Introduction to Statistics with Python

    With Applications in the Life Sciences

    by Thomas Haslwanter ...
    Series series Mathematics and Statistics (R0)
    This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be ... Read more

    $49.99 USD

  • Logistic Regression Using SAS

    Theory and Application, Second Edition

    by Paul D. Allison ...
    If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. ... Read more

    $43.99 USD

  • An Introduction to R for Quantitative Economics

    Graphing, Simulating and Computing

    by Vikram Dayal ...
    Series series Economics and Finance (R0)
    This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, ... Read more

    $62.99 USD

  • Introduction to Computational Genomics

    A Case Studies Approach

    by Nello Cristianini, Matthew W. Hahn ...
    Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next ... Read more

    $60.69 USD

  • Primer to Analysis of Genomic Data Using R

    by Cedric Gondro ...
    Series series Mathematics and Statistics (R0)
    Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate ... Read more

    $58.49 USD