L1-statistical Procedures and Related Topics
Author | : Yadolah Dodge |
Publisher | : IMS |
Total Pages | : 550 |
Release | : 1997 |
Genre | : Mathematics |
ISBN | : 9780940600430 |
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Author | : Yadolah Dodge |
Publisher | : IMS |
Total Pages | : 550 |
Release | : 1997 |
Genre | : Mathematics |
ISBN | : 9780940600430 |
Author | : Yadolah Dodge |
Publisher | : Birkhäuser |
Total Pages | : 447 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 3034882017 |
This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchâtel, Switzerland, from August 4–9, 2002. The contributions represent clear evidence to the importance of the development of theory, methods and applications related to the statistical data analysis based on the L1-norm.
Author | : John Van Ryzin |
Publisher | : IMS |
Total Pages | : 496 |
Release | : 1986 |
Genre | : Mathematics |
ISBN | : 9780940600096 |
Author | : Francisco J. Samaniego |
Publisher | : World Scientific |
Total Pages | : 479 |
Release | : 2011 |
Genre | : Mathematics |
ISBN | : 9814366579 |
Review papers. 1. On the scholarly work of P.K. Bhattacharya / P. Hall and F.J. Samaniego. 2. The propensity score and its role in causal inference / C. Drake and T. Loux. 3. Recent tests for symmetry with multivariate and structured data: a review / S.G. Meintanis and J. Ngatchou-Wandji -- Papers on general nonparametric inference. 4. On robust versions of classical tests with dependent data / J. Jiang. 5. Density estimation by sampling from stationary continuous time parameter associated processes / G.G. Roussas and D. Bhattacharya. 6. A Short proof of the Feigin-Tweedie theorem on the existence of the mean functional of a Dirichlet process / J. Sethuraman. 7. Max-min Bernstein polynomial estimation of a discontinuity in distribution / K.-S. Song. 8. U-statistics based on higher-order spacings / D.D. Tung and S.R. Jammalamadaka. 9. Nonparametric models for non-Gaussian longitudinal data / N. Zhang, H.-G. Muller and J.-L. Wang -- Papers on aspects of linear or generalized linear models. 10. Better residuals / R. Beran. 11. The use of Peters-Belson regression in legal cases / E. Bura, J.L. Gastwirth and H. Hikawa. 12. On a hybrid approach to parametric and nonparametric regression / P. Burman and P. Chaudhuri. 13. Nonparametric regression models with integrated covariates / Z. Cai. 14. A dynamic test for misspecification of a linear model / M.P. McAssey and F. Hsieh. 15. The principal component decomposition of the basic martingale / W. Stute -- Papers on time series analysis. 16. Fast scatterplot smoothing using blockwise least squares fitting / A. Aue and T.C.M. Lee. 17. Some recent advances in semiparametric estimation of the GARCH model / J. Di and A. Gangopadhyay. 18. Extreme dependence in multivariate time series: a review / R. Sen and Z. Tan. 19. Dynamic mixed models for irregularly observed water quality data / R.H. Shumway -- Papers on asymptotic theory. 20. Asymptotic behavior of the kernel density estimators for nonstationary dependent random variables with binned data / J.-F. Lenain, M. Harel and M.L. Puri. 21. Convergence rates of an improved isotonic regression estimator / H. Mukerjee. 22. Asymptotic distribution of the smallest eigenvalue of Wishart(N, n) When N, n ' [symbol] such that N/n --> 0 / D. Paul
Author | : |
Publisher | : Elsevier |
Total Pages | : 777 |
Release | : 2012-05-18 |
Genre | : Mathematics |
ISBN | : 0444538631 |
The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments.The Handbook of Statistics is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with Volume 30 dealing with time series. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience. - Comprehensively presents the various aspects of statistical methodology - Discusses a wide variety of diverse applications and recent developments - Contributors are internationally renowened experts in their respective areas
Author | : Tata Subba Rao |
Publisher | : Elsevier |
Total Pages | : 778 |
Release | : 2012-06-26 |
Genre | : Mathematics |
ISBN | : 0444538585 |
'Handbook of Statistics' is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with volume 30 dealing with time series.
Author | : R.W. Farebrother |
Publisher | : CRC Press |
Total Pages | : 267 |
Release | : 2002-06-14 |
Genre | : Mathematics |
ISBN | : 0824744608 |
An examination of classic algorithms, geometric diagrams and mechanical principles for enhanced visualization of statistical estimation procedures and mathematical concepts in physics, engineering and computer programming.
Author | : Jana Jureckova |
Publisher | : CRC Press |
Total Pages | : 410 |
Release | : 2012-07-20 |
Genre | : Mathematics |
ISBN | : 1439840695 |
Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algo
Author | : Gonzalo R. Arce |
Publisher | : John Wiley & Sons |
Total Pages | : 483 |
Release | : 2005-01-03 |
Genre | : Science |
ISBN | : 0471691844 |
Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades. Key features include: * Numerous problems at the end of each chapter to aid development and understanding * Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context * A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.
Author | : Claudia Becker |
Publisher | : Springer Science & Business Media |
Total Pages | : 377 |
Release | : 2014-07-08 |
Genre | : Mathematics |
ISBN | : 3642354947 |
This Festschrift in honour of Ursula Gather’s 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading experts provide a textbook-style overview of the topic, supplemented by current research results and questions. The statistical theory and methods in this volume aim at the analysis of data which deviate from classical stringent model assumptions, which contain outlying values and/or have a complex structure. Written for researchers as well as master and PhD students with a good knowledge of statistics.