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Lecture Notes in Statistics Série de Livres électroniques

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  • Understanding Randomness

    EXERCISES FOR STATISTICIANS

    Collections series Lecture Notes in Statistics
    This concise, easy-to-follow book stimulates interest and develops proficiency in statisticalanalysis. Packed full of helpful exercises-covering a wide variety of conditions,random patterns, and simple models-Understanding Randomness presents a logical sequenceof study, through practice in interpreting random noise before progressing on toreal life problems ... demonstrates proper applications of ... En savoir plus

    $100.99 CAD

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  • Statistics Study Guide: Permutation, Random Variable, Probability Axioms, Bayesian Probability, Decision Theory, Chebyshev's Inequality, Chi-Square & Student's T-Distribution, Sampling, Correlation (Mobi Study Guides)

    par MobileReference ...
    Boost Your grades with this illustrated Study Guide. You will use it from an undergraduate school all the way to graduate school and beyond.FEATURES:- Written in concise and clear English - Illustrated with graphs and diagrams - Use your down time to prepare for an exam. - Includes Glossary of probability and statistics TABLE OF CONTENTS:Introduction: History Conceptual overview Statistical ... En savoir plus

    $11.99 CAD ou Gratuit avec Kobo Plus

  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    Collections series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... En savoir plus

    $91.99 CAD

  • Introduction to Probability Models

    par Sheldon M. Ross ...
    Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think probabilistically. The other approach attempts a rigorous ... En savoir plus

    $85.59 CAD

  • Statistical Evidence

    A Likelihood Paradigm

    par Richard Royall ...
    Collections series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology ... En savoir plus

    $87.99 CAD

  • Statistical Methods Of Analysis

    This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through basic concepts of statistical inference, to a collection of methods of analysis useful for scientific research. It is rich in tables, diagrams, and examples, in addition to theoretical justification of the methods of analysis introduced. Each chapter has a ... En savoir plus

    $63.99 CAD

  • Mathematical Statistics With Applications

    Collections series Statistics: A Series of Textbooks and Monographs
    Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus ... En savoir plus

    $98.99 CAD

  • A Course in Categorical Data Analysis

    par Thomas Leonard ...
    Collections series Chapman & Hall/CRC Texts in Statistical Science
    Categorical data-comprising counts of individuals, objects, or entities in different categories-emerge frequently from many areas of study, including medicine, sociology, geology, and education. They provide important statistical information that can lead to real-life conclusions and the discovery of fresh knowledge. Therefore, the ability to manipulate, understand, and interpret categorical data ... En savoir plus

    $93.99 CAD

  • Reduced Forms of Rational Expectations Models

    A comprehensive exposition of rational expectations models is provided here, working up from simple univariate models to more sophisticated multivariate and non-linear models. ... En savoir plus

    $97.99 CAD

  • Financial Engineering with Copulas Explained

    par J. Mai, M. Scherer ...
    Collections series Economics and Finance (R0)
    This is a succinct guide to the application and modelling of dependence models or copulas in the financial markets. First applied to credit risk modelling, copulas are now widely used across a range of derivatives transactions, asset pricing techniques and risk models and are a core part of the financial engineer's toolkit. ... En savoir plus

    $44.99 CAD

  • Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

    Collections series Engineering (R0)
    This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, ... En savoir plus

    $115.99 CAD

  • Nonparametric Tests for Censored Data

    Statistical analysis of data sets usually involves construction of a statistical model of the distribution of data within the available sample – and by extension the distribution of all data of the same category in the world. Statistical models are either parametric or non-parametric – this distinction is based on whether or not the model can be described in terms of a finite-dimensional parameter ... En savoir plus

    $174.99 CAD