Download or read book Nonparametric Expectile Regression and Testing written by Seoghoon Kang and published by . This book was released on 1991 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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:

Download or read book Testing for No Effect when Estimating a Smooth Function by Nonparametric Regression written by Jonathan Alan Raz and published by . This book was released on 1988 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Goodness of fit Tests in Nonparametric Regression written by Johannes Hubertus Jacob Einmahl and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Measures of Deviation for Nonparametric Tests of Regression written by Cheikh A. T. Diack and published by . This book was released on 1999 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Nonparametric Statistical Methods Using R written by John Kloke and published by CRC Press. This book was released on 2014-10-09 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.

Download or read book Quantile Regression written by Marilena Furno and published by John Wiley & Sons. This book was released on 2018-09-24 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains an overview of several technical topics of Quantile Regression Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming. Graphical representations are widely used to visually introduce several issues, and to illustrate each method. All the topics are treated theoretically and using real data examples. Designed as a practical resource, the book is thorough without getting too technical about the statistical background. The authors cover a wide range of QR models useful in several fields. The software commands in R and Stata are available in the appendixes and featured on the accompanying website. The text: Provides an overview of several technical topics such as robustness of quantile regressions, bootstrap and elemental sets, treatment effect estimators Compares quantile regression with alternative estimators like expectiles, M-estimators and M-quantiles Offers a general introduction to linear programming focusing on the simplex method as solving method for the quantile regression problem Considers time-series issues like non-stationarity, spurious regressions, cointegration, conditional heteroskedasticity via quantile regression Offers an analysis that is both theoretically and practical Presents real data examples and graphical representations to explain the technical issues Written for researchers and students in the fields of statistics, economics, econometrics, social and environmental science, this text offers guide to the theory and application of quantile regression models.

Download or read book Nonparametric Tests Using a Kernel Estimation Method written by Byung Joo Lee and published by . This book was released on 1988 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Bootstrap Test for Difference Between Means in Nonparametric Regression written by Peter Hall and published by . This book was released on 1989 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bootstrap test is proposed for detecting a difference between two mean functions in the setting of nonparametric regression. Error distributions in the regression model are permitted to be arbitrary and unequal. The test enjoys power properties akin to those in a parametric setting, in the sense that it can distinguish between regression functions distant only n-1/2 apart, where n is the sample size. It has exceptional level accuracy, with level error of only n-2, and uses a very accurate estimate of the critical point of an exact test, being in error by only n-3/2 under the null hypothesis. The test admits several generalizations, for example to the case of testing for differences between several regression means. (This is a regression analog of analysis of variance.) A simulation study using n as small as 15 corroborates the asymptotic result on level accuracy of the bootstrap test. Applications are illustrated with an example involving acid rain data.

Download or read book Consistent Specification Testing Via Nonparametric Series Regression written by Yongmiao Hong and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Non parametric Test of Whether Two Simple Regression Lines are Parallel written by Richard F. Potthoff and published by . This book was released on 1965 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Risk Management Post Financial Crisis written by Jonathan A. Batten and published by Emerald Group Publishing. This book was released on 2014-10-03 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk Management Post Financial Crisis: A Period of Monetary Easing provides further insights into postcrisis developments in the global economic and financial environment including advances in measuring and reporting risk and liquidity. Contributions come from leading banks, international organisations and worldrenowned universities.

Download or read book Economists at Wisconsin 1892 1992 written by Robert J. Lampman and published by . This book was released on 1993 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Testing for Goodness of Fit Using Nonparametric Techniques written by Maragatha N. Ramachandran and published by . This book was released on 1992 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Two Consistent Nonparametric Tests of the Monotonicity of Regression written by Cheikh A. T. Diack and published by . This book was released on 1999 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Comparison of Parametric and Nonparametric Regression Methods for Testing Lack of Fit written by Sue A. Crane and published by . This book was released on 1994 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Linear Processes in Function Spaces written by Denis Bosq and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main subject of this book is the estimation and forecasting of continuous time processes. It leads to a development of the theory of linear processes in function spaces. Mathematical tools are presented, as well as autoregressive processes in Hilbert and Banach spaces and general linear processes and statistical prediction. Implementation and numerical applications are also covered. The book assumes knowledge of classical probability theory and statistics.