Skip to main content
Search Button
Librairie Kobo Canada Cartes cadeau Aide

Kobo Rakuten

Ma liste d'envies

Panier

Vous profitez des avantages réservés aux VIP !

Article(s) non disponible(s) à la vente
Veuillez vérifier votre panier. Vous pouvez supprimer le ou les articles qui ne sont pas disponibles maintenant ou nous les supprimerons automatiquement au moment du règlement de la commande.
articlesarticle
articlesarticle

Recommandé pour vous

Loading...


Meilleures séries dans ce pays : Canada

1-12 sur 12 résultats pour « daniel durstewitz »
Skip side bar filters

  • Advanced Data Analysis in Neuroscience

    Integrating Statistical and Computational Models

    par Daniel Durstewitz ...
    Collections series Mathematics and Statistics (R0)
    This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear ... En savoir plus

    $60.19 CAD

Les lecteurs de ce roman ont aussi aimé

  • Statistics Explained

    An Introductory Guide for Life Scientists

    par Steve McKillup ...
    An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses ... En savoir plus

    $48.99 CAD

  • Applied Survival Analysis Using R

    par Dirk F. Moore ...
    Collections series Mathematics and Statistics (R0)
    Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many ... En savoir plus

    $70.99 CAD

  • Statistics in Food Science and Nutrition

    par Are Hugo Pripp ...
    Collections series Chemistry and Material Science (R0)
    Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical ... En savoir plus

    $83.99 CAD

  • Applied Multivariate Statistics with R

    par Daniel Zelterman ...
    Collections series Mathematics and Statistics (R0)
    This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, ... En savoir plus

    $76.99 CAD

  • Treatment of Multiple Sclerosis

    Trial Design, Results, and Future Perspectives

    Modifié par Richard A. Rudick, Donald E. Goodkin ...
    Collections series Medicine (R0)
    Multiple sclerosis is one of the major current problems in neurol ogical practice. It remains incompletely understood, yet is a common cause of chronic disability in developed Western so cieties: Patients with the disease have difficulty understanding what has happened to them and become bewildered by the con trast between the evidently large body of knowledge concerning the clinical ... En savoir plus

    $64.99 CAD

  • Principles of Computational Modelling in Neuroscience

    par David Sterratt, Bruce Graham, David Willshaw, Andrew Gillies ...
    The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a ... En savoir plus

    $75.99 CAD

  • Analysis of Neural Data

    par Robert E. Kass, Uri T. Eden, Emery N. Brown ...
    Collections series Mathematics and Statistics (R0)
    Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas ... En savoir plus

    $204.99 CAD

  • Dynamic Neuroscience

    Statistics, Modeling, and Control

    Modifié par Zhe Chen, Sridevi V. Sarma ...
    This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges ... En savoir plus

    $192.99 CAD

  • Stochastic Neuron Models

    par Lawrence M. Ward, Priscilla E. Greenwood ...
    Collections Livre 1.5 - Mathematical Biosciences Institute Lecture Series
    This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these ... En savoir plus

    $64.99 CAD

  • Monte-Carlo Simulation-Based Statistical Modeling

    Modifié par John Dean Chen, Ding-Geng (Din) Chen ...
    Collections series ICSA Book Series in Statistics
    This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the ... En savoir plus

    $153.99 CAD

  • New Developments in Statistical Modeling, Inference and Application

    Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

    Modifié par Zhezhen Jin, Mengling Liu, Xiaolong Luo ...
    Collections series Springer Nature Proceedings excluding Computer Science
    The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking ... En savoir plus

    $179.99 CAD