Télécharger le livre :  Introduction to the Statistics of Poisson Processes and Applications
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This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on the given dataset. These processes are mathematically...

Editeur : Springer
Parution : 2023-09-04
Collection : Frontiers in Probability and the Statistical Sciences
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158,24
Télécharger le livre :  Statistical Analysis of Microbiome Data
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Microbiome research has focused on microorganisms that live within the human body and their effects on health. During the last few years, the quantification of microbiome composition in different environments has been facilitated by the advent of high throughput...

Editeur : Springer
Parution : 2021-10-27
Collection : Frontiers in Probability and the Statistical Sciences
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116,04
Télécharger le livre :  Multivariate Statistical Methods
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This book presents a general method for deriving higher-order statistics of multivariate distributions with simple algorithms that allow for actual calculations. Multivariate nonlinear statistical models require the study of higher-order moments and cumulants. The...

Editeur : Springer
Parution : 2021-10-26
Collection : Frontiers in Probability and the Statistical Sciences
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105,49
Télécharger le livre :  Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
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This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data.This contributed volume provides an introduction to the special aspects of statistical design and analysis with...

Editeur : Springer
Parution : 2016-12-15
Collection : Frontiers in Probability and the Statistical Sciences
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168,79
Télécharger le livre :  Model-Free Prediction and Regression
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The Model-Free Prediction Principle expounded upon in this monograph is based on the simple notion of transforming a complex dataset to one that is easier to work with, e.g., i.i.d. or Gaussian. As such, it restores the emphasis on observable quantities, i.e., current...

Editeur : Springer
Parution : 2015-11-13
Collection : Frontiers in Probability and the Statistical Sciences
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94,94
Télécharger le livre :  Nonparametric Bayesian Inference in Biostatistics
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As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to...

Editeur : Springer
Parution : 2015-07-25
Collection : Frontiers in Probability and the Statistical Sciences
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94,94
Télécharger le livre :  Statistical Methods for Ranking Data
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This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of...

Editeur : Springer
Parution : 2014-09-02
Collection : Frontiers in Probability and the Statistical Sciences
ePub

126,59
Télécharger le livre :  Statistical Analysis of Next Generation Sequencing Data
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Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data...

Editeur : Springer
Parution : 2014-07-03
Collection : Frontiers in Probability and the Statistical Sciences
ePub

137,14