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Asymptotic Properties Of The Nonparametric Part In Partial Linear Heteroscedastic Regression Models
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Book Synopsis Asymptotic Properties of the Nonparametric Part in Partial Linear Heteroscedastic Regression Models by : Hua Liang
Download or read book Asymptotic Properties of the Nonparametric Part in Partial Linear Heteroscedastic Regression Models written by Hua Liang and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Normality of Parametric Part in Partial Linear Heteroscedastic Regression Models by : Hua Liang
Download or read book Asymptotic Normality of Parametric Part in Partial Linear Heteroscedastic Regression Models written by Hua Liang and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Properties of a Rank Estimate in Heteroscedastic Linear Regression by : Kristi Kuljus
Download or read book Asymptotic Properties of a Rank Estimate in Heteroscedastic Linear Regression written by Kristi Kuljus and published by . This book was released on 2008 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Partially Linear Models by : Wolfgang Härdle
Download or read book Partially Linear Models written by Wolfgang Härdle and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing in statistics. Many methods and techniques have been proposed and studied. This monograph hopes to bring an up-to-date presentation of the state of the art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on applications of partially linear regression techniques to various statistical problems. These problems include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and nonparametric time series models.
Book Synopsis Journal of Statistical Planning and Inference by : North-Holland Publishing Company
Download or read book Journal of Statistical Planning and Inference written by North-Holland Publishing Company and published by . This book was released on 2001 with total page 1078 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Normality of Parametric Part in Partially Linear Models with Measurement Error in the Nonparametric Part by : Hua Liang
Download or read book Asymptotic Normality of Parametric Part in Partially Linear Models with Measurement Error in the Nonparametric Part written by Hua Liang and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Stanford University. Institute for Mathematical Studies in the Social Sciences Publisher : ISBN 13 : Total Pages :32 pages Book Rating :4.:/5 (123 download)
Book Synopsis Asymptotic Properties of Multiperiod Control Rules in the Linear Regression Model by : Stanford University. Institute for Mathematical Studies in the Social Sciences
Download or read book Asymptotic Properties of Multiperiod Control Rules in the Linear Regression Model written by Stanford University. Institute for Mathematical Studies in the Social Sciences and published by . This book was released on 1972 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Local Polynomial Modelling and Its Applications by : Jianqing Fan
Download or read book Local Polynomial Modelling and Its Applications written by Jianqing Fan and published by Routledge. This book was released on 2018-05-02 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial modeling and its applications provides an up-to-date picture on state-of-the-art nonparametric regression techniques. The emphasis of the book is on methodologies rather than on theory, with a particular focus on applications of nonparametric techniques to various statistical problems. High-dimensional data-analytic tools are presented, and the book includes a variety of examples. This will be a valuable reference for research and applied statisticians, and will serve as a textbook for graduate students and others interested in nonparametric regression.
Book Synopsis Sums Whose Terms are Elements of Linear Random Regression Sequences by : Valerii Buldygin
Download or read book Sums Whose Terms are Elements of Linear Random Regression Sequences written by Valerii Buldygin and published by LAP Lambert Academic Publishing. This book was released on 2014-06-05 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: One-dimensional and multi-dimensional linear regression sequences, sequences of partial sums, and series whose terms are elements of regression sequences appear as mathematical models in different fields of modern science. Their various applications in physics, economics, biology, cybernetics, actuary and financial mathematics motivate further study of the topic. In this book, we study the asymptotic behaviour of sequences of sums whose terms are elements of one-dimensional and multi-dimensional linear regressions with independent and symmetric noise. In particular, a great attention is paid to conditions which provide the almost sure convergence of series with regression terms. These problems are considered in both finite-dimensional and separable Banach spaces. This book is a result of joint successful work by Dr. Prof. V. Buldygin and Dr. M. Runovska.
Book Synopsis Nonparametric Statistical Methods and Related Topics by : Francisco J. Samaniego
Download or read book Nonparametric Statistical Methods and Related Topics written by Francisco J. Samaniego and published by World Scientific. This book was released on 2011 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition by :
Download or read book Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 743 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Calculus, Mathematical Analysis, and Nonlinear Research. The editors have built Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Calculus, Mathematical Analysis, and Nonlinear Research in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Calculus, Mathematical Analysis, and Nonlinear Research: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Book Synopsis Asymptotic Properties of Nonparametric Prediction by : Young Kinh Nhue Truong
Download or read book Asymptotic Properties of Nonparametric Prediction written by Young Kinh Nhue Truong and published by . This book was released on 1985 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Properties of Non-parametric Estimators for Non-linear Functions of Random Fields by : Eduardo Valenzuela Dominguez
Download or read book Asymptotic Properties of Non-parametric Estimators for Non-linear Functions of Random Fields written by Eduardo Valenzuela Dominguez and published by . This book was released on 1995 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Asymptotic Properties of Nonlinear Least Squares Estimates in Stochastic Regression Models by : Stanford University. Department of Statistics
Download or read book Asymptotic Properties of Nonlinear Least Squares Estimates in Stochastic Regression Models written by Stanford University. Department of Statistics and published by . This book was released on 1990 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Tests for Regression Models by : Shishirkumar Shreedhar Jogdeo
Download or read book Nonparametric Tests for Regression Models written by Shishirkumar Shreedhar Jogdeo and published by . This book was released on 1962 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Methods by : P. R. Krishnaiah
Download or read book Nonparametric Methods written by P. R. Krishnaiah and published by Elsevier Health Sciences. This book was released on 1984 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical developments. Linear models. Order statistics and empitical distribution. Estimation procedures. Stochastic aproximation and density estimation. Life testing and reliability. Miscellaneous topics. Applications. Tables.
Book Synopsis An Asymptotic Theory for Weighted Least Squares with Weights Estimated by Replication by : Raymond J. Carroll
Download or read book An Asymptotic Theory for Weighted Least Squares with Weights Estimated by Replication written by Raymond J. Carroll and published by . This book was released on 1988 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document considers a heteroscedastic linear regression model with replication. To estimate the variances, one can use the sample variances or the sample average squared errors from a regression fit. The authors study the large sample properties of these weighted least squares estimates with estimated weights when the number of replicates is small. The estimates are generally inconsistent for asymmetrically distributed data. If sample variances are used based on m replicates, the weighted least squares estimates are inconsistent for m=2 replicates even when the data are normally distributed. With between 3 and 5 replicates, the rates of convergence are slower than the usual square root of N. With m> or = 6 replicates, the effect of estimating the weights is to increase variances by (m-5)/(m-3), relative to weighted least squares estimates with known weights. (KR).