Denis Bosq Mathematical Statistics and Stochastic Processes
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Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very
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Denis Bosq Inference and Prediction in Large Dimensions
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This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive
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Daniel J. Denis Applied Univariate, Bivariate, and Multivariate Statistics
Купить за 12486.46 RUR
A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a general and accessible introduction, Applied Univariate, Bivariate, and Multivariate Statistics provides an overview of statistical modeling techniques
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Daniel J. Denis Applied Univariate, Bivariate, and Multivariate Statistics
Купить за 12011.2 RUR
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Daniel J. Denis Applied Univariate, Bivariate, and Multivariate Statistics
Купить за 12011.2 RUR
AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND BEHAVIORAL SCIENCES The revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R
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Shelemyahu Zacks Examples and Problems in Mathematical Statistics
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Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory
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Dieter Rasch Mathematical Statistics
Купить за 7389.35 RUR
Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of
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Hesterberg Tim C. Mathematical Statistics with Resampling and R
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This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply
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Tim Hesterberg C. Mathematical Statistics with Resampling and R
Купить за 11161 RUR
This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second
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Ansgar Steland Financial Statistics and Mathematical Finance. Methods, Models and Applications
Купить за 9144.32 RUR
Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of
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Richard Rossi J. Mathematical Statistics
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Presents a unified approach to parametric estimation, confidence intervals, hypothesis testing, and statistical modeling, which are uniquely based on the likelihood function This book addresses mathematical statistics for upper-undergraduates and first year graduate students, tying chapters on
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Daniel J. Denis Applied Univariate, Bivariate, and Multivariate Statistics Using Python
Купить за 11546.74 RUR
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