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“julius kruopis”

Showing 1 - 12 of 12 results for “julius kruopis”
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  • Nonparametric Tests for Complete Data

    by Julius Kruopis, Vilijandas Bagdonavicius, Mikhail S. Nikulin ...
    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 ... Read more

    $186.99 CAD

  • Nonparametric Tests for Censored Data

    by Vilijandas Bagdonavicius, Julius Kruopis, Mikhail S. Nikulin ...
    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 ... Read more

    $174.99 CAD

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  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    by Bradley Efron, Trevor Hastie ...
    Series Book 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Read more

    $81.99 CAD

  • Generalized, Linear, and Mixed Models

    by Charles E. McCulloch, Shayle R. Searle, John M. Neuhaus ...
    Series Book 651 - Wiley Series in Probability and Statistics
    An accessible and self-contained introduction to statistical models-now in a modernized new editionGeneralized, Linear, and Mixed Models, Second Edition provides an up-to-date treatment of the essential techniques for developing and applying a wide variety of statistical models. The book presents thorough and unified coverage of the theory behind generalized, linear, and mixed models and ... Read more

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  • Modelling Under Risk and Uncertainty

    An Introduction to Statistical, Phenomenological and Computational Methods

    by Etienne de Rocquigny ...
    Series Book 980 - Wiley Series in Probability and Statistics
    Modelling has permeated virtually all areas of industrial, environmental, economic, bio-medical or civil engineering: yet the use of models for decision-making raises a number of issues to which this book is dedicated:How uncertain is my model ? Is it truly valuable to support decision-making ? What kind of decision can be truly supported and how can I handle residual uncertainty ? How much ... Read more

    $123.99 CAD

  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    by Walter Zucchini, Iain L. MacDonald, Roland Langrock ...
    Series 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 ... Read more

    $91.99 CAD

  • Quantile Regression

    by Roger Koenker ...
    Series Book 38 - Econometric Society Monographs
    Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This ... Read more

    $55.99 CAD

  • Statistical Evidence

    A Likelihood Paradigm

    by Richard Royall ...
    Series 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 ... Read more

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  • Introduction to Functional Data Analysis

    by Piotr Kokoszka, Matthew Reimherr ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework.The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS ... Read more

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  • Statistical and Machine Learning Approaches for Network Analysis

    by Subhash C. Basak, Matthias Dehmer ...
    Series Book 707 - Wiley Series in Computational Statistics
    Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book ... Read more

    $151.99 CAD

  • 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

    $83.99 CAD

  • Essential Statistical Inference

    Theory and Methods

    by Dennis D. Boos, L A Stefanski ...
    Series series Mathematics and Statistics (R0)
    This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large number of examples and ... Read more

    $179.99 CAD