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...


Top Series in United States

Showing 1 - 12 of 12 results for “jan vrbik”
Skip side bar filters

  • Informal Introduction to Stochastic Processes with Maple

    by Paul Vrbik, Jan Vrbik ...
    Series series Mathematics and Statistics (R0)
    The book presents an introduction to Stochastic Processes including Markov Chains, Birth and Death processes, Brownian motion and Autoregressive models. The emphasis is on simplifying both the underlying mathematics and the conceptual understanding of random processes. In particular, non-trivial computations are delegated to a computer-algebra system, specifically Maple (although other systems can ... Read more

    $49.49 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

  • Regression Modeling Strategies

    With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

    by Frank E. Harrell , Jr. ...
    Series series Mathematics and Statistics (R0)
    This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address ... Read more

    $98.09 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

    $116.09 USD

  • Computational Probability

    Algorithms and Applications in the Mathematical Sciences

    by John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis ...
    Series series Business and Management (R0)
    This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been ... Read more

    $116.09 USD

  • Simulation-Based Algorithms for Markov Decision Processes

    by Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus ...
    Series series Engineering (R0)
    Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Read more

    $89.09 USD

  • Vector Generalized Linear and Additive Models

    With an Implementation in R

    by Thomas W. Yee ...
    Series series Mathematics and Statistics (R0)
    This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models more fully operable, the framework allows analyses based on many semi-traditional applied statistics models to be ... Read more

    $107.99 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

    $49.49 USD

  • Statistical Programming with SAS/IML Software

    by Rick Wicklin ...
    SAS/IML software is a powerful tool for data analysts because it enables implementation of statistical algorithms that are not available in any SAS procedure. Rick Wicklin's Statistical Programming with SAS/IML Software is the first book to provide a comprehensive description of the software and how to use it. He presents tips and techniques that enable you to use the IML procedure and the SAS/IML ... Read more

    $54.99 USD

  • 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

  • Computational Probability Applications

    Edited by Andrew G. Glen, Lawrence M. Leemis ...
    Series series Business and Management (R0)
    This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is unified by the use of A Probability Programming Language (APPL) to achieve the modeling objectives. ... Read more

    $89.99 USD

  • Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

    by Uffe B. Kjærulff, Anders L. Madsen ...
    Series series Computer Science (R0)
    Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. This new edition contains six new sections, in addition to fully-updated examples, tables, figures, and a revised appendix. Intended ... Read more

    $89.09 USD