A Basic Course on Probability Theory
The book develops the necessary background in probability theory underlying diverse treatments of stochastic processes and ...
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A History of Parametric Statistical Inference from Bernoulli to Fischer, 1713-1935
This is a history of parametric statistical inference, written by one of the most important historians of statistics of the ...
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An R and S-Plus® Companion to Multivariate Analysis
Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined ...
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Analysis of Integrated and Cointegrated Time Series with R
The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. ...
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Analysis of Variance for Random Models, Volume 2: Unbalanced Data
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application ...
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Asymptotic Theory of Statistics and Probability
This book is an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical ...
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based ...
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Biostatistica in Radiologia : Progettare, realizzare e scrivere un lavoro scientifico radiologico = Biostatistics in Radiology: Designing, creating and writing a radiological scientific work
The progressive affirmation of evidence-based medicine requires radiology to make a qualitative leap: from demonstrating ...
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Biostatistics and Microbiology: A Survival Manual
This book presents a step-by-step manner that eliminates the greatest obstacle to the learner, which is applying the many ...
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Cambridge and Vienna
The Institute Vienna Circle held a conference in 2003, Cambridge and Vienna: Frank P. Ramsey and the Vienna Circle, to commemorate ...
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Deep Learning to See : Towards New Foundations of Computer Vision / Alessandro Betti, Marco Gori, Stefano Melacci
Topics and features: Presents a curiosity-driven approach, posing questions to stimulate readers to design novel computational ...
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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Dependence in Probability and Statistics
This book gives a detailed account of some recent developments in the field of probability and statistics for dependent data. ...
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Elements for Physics
While usual presentations of physical theories emphasize the notion of physical quantity, this book shows that there is much ...
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Functional and Operatorial Statistics
An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress ...
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Fuzzy Probability and Statistics
This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, ...
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Fuzzy Set Approach to Multidimensional Poverty Measurement
This volume brings together advanced thinking on the multidimensional measurement of poverty, including the theoretical background, ...
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Geometric Data Analysis
Geometric Data Analysis (GDA) is the name suggested by Stanford University to designate the approach to Multivariate Statistics ...
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Génetique statistique = Statistical genetics
Presents the main statistical tools useful in genetics: significance tests, analysis methods based on the likelihood function, ...
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Hidden Markov Models in Finance
A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems ...
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