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978-3-319-51313-3 |
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20170127155623.0 |
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|a 9783319513133
|9 978-3-319-51313-3
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|a 10.1007/978-3-319-51313-3
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|a MAT029000
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|a 519.5
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|a Analytical Methods in Statistics
|h [electronic resource] :
|b AMISTAT, Prague, November 2015 /
|c edited by Jaromír Antoch, Jana Jurečková, Matúš Maciak, Michal Pešta.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a IX, 207 p. 12 illus., 4 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Springer Proceedings in Mathematics & Statistics,
|x 2194-1009 ;
|v 193
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|a Preface -- A Weighted Bootstrap Procedure for Divergence Minimization Problems (Michel Broniatowski) -- Asymptotic Analysis of Iterated 1-step Huber-skip M-estimators with Varying Cut-offs (Xiyu Jiao and Bent Nielsen).-Regression Quantile and Averaged Regression Quantile Processes (Jana Jurečková) -- Stability and Heavy-tailness (Lev B. Klebanov) -- Smooth Estimation of Error Distribution in Nonparametric Regression under Long Memory (Hira L. Koul and Lihong Wang) -- Testing Shape Constrains in Lasso Regularized Joinpoint Regression (Matúš Maciak) -- Shape Constrained Regression in Sobolev Spaces with Application to Option Pricing (Michal Pešta and Zdeněk Hlávka) -- On Existence of Explicit Asymptotically Normal Estimators in Non-Linear Regression Problems (Alexander Sakhanenko) -- On the Behavior of the Risk of a LASSO-Type Estimator (Silvelyn Zwanzig and M. Rauf Ahmad).
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|a This volume collects authoritative contributions on analytical methods and mathematical statistics. The methods presented include resampling techniques; the minimization of divergence; estimation theory and regression, eventually under shape or other constraints or long memory; and iterative approximations when the optimal solution is difficult to achieve. It also investigates probability distributions with respect to their stability, heavy-tailness, Fisher information and other aspects, both asymptotically and non-asymptotically. The book not only presents the latest mathematical and statistical methods and their extensions, but also offers solutions to real-world problems including option pricing. The selected, peer-reviewed contributions were originally presented at the workshop on Analytical Methods in Statistics, AMISTAT 2015, held in Prague, Czech Republic, November 10-13, 2015.
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| 650 |
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|a Statistics.
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| 650 |
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|a Probabilities.
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| 650 |
1 |
4 |
|a Statistics.
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| 650 |
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4 |
|a Statistical Theory and Methods.
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| 650 |
2 |
4 |
|a Probability Theory and Stochastic Processes.
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| 650 |
2 |
4 |
|a Statistics for Business/Economics/Mathematical Finance/Insurance.
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| 700 |
1 |
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|a Antoch, Jaromír.
|e editor.
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| 700 |
1 |
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|a Jurečková, Jana.
|e editor.
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| 700 |
1 |
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|a Maciak, Matúš.
|e editor.
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| 700 |
1 |
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|a Pešta, Michal.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783319513126
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| 830 |
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|a Springer Proceedings in Mathematics & Statistics,
|x 2194-1009 ;
|v 193
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-51313-3
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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