Nonparametric Goodness-of-Fit Testing Under Gaussian Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonparametric Goodness-of-Fit Testing Under Gaussian Models write by Yuri Ingster. This book was released on 2012-11-12. Nonparametric Goodness-of-Fit Testing Under Gaussian Models available in PDF, EPUB and Kindle. This book presents the modern theory of nonparametric goodness-of-fit testing. It fills the gap in modern nonparametric statistical theory by discussing hypothesis testing and addresses mathematical statisticians who are interesting in the theory of non-parametric statistical inference. It will be of interest to specialists who are dealing with applied non-parametric statistical problems relevant in signal detection and transmission and in technical and medical diagnostics among others.
Parametric and Nonparametric Inference from Record-Breaking Data
Parametric and Nonparametric Inference from Record-Breaking Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Parametric and Nonparametric Inference from Record-Breaking Data write by Sneh Gulati. This book was released on 2013-03-14. Parametric and Nonparametric Inference from Record-Breaking Data available in PDF, EPUB and Kindle. By providing a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data in detail. Its main purpose is to fill this void on general inference from record values. Statisticians, mathematicians, and engineers will find the book useful as a research reference. It can also serve as part of a graduate-level statistics or mathematics course.
Nonlinear Estimation and Classification
Nonlinear Estimation and Classification - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonlinear Estimation and Classification write by David D. Denison. This book was released on 2013-11-11. Nonlinear Estimation and Classification available in PDF, EPUB and Kindle. Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.
Foundations of Statistical Inference
Foundations of Statistical Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Statistical Inference write by Yoel Haitovsky. This book was released on 2012-12-06. Foundations of Statistical Inference available in PDF, EPUB and Kindle. This volume is a collection of papers presented at a conference held in Shoresh Holiday Resort near Jerusalem, Israel, in December 2000 organized by the Israeli Ministry of Science, Culture and Sport. The theme of the conference was "Foundation of Statistical Inference: Applications in the Medical and Social Sciences and in Industry and the Interface of Computer Sciences". The following is a quotation from the Program and Abstract booklet of the conference. "Over the past several decades, the field of statistics has seen tremendous growth and development in theory and methodology. At the same time, the advent of computers has facilitated the use of modern statistics in all branches of science, making statistics even more interdisciplinary than in the past; statistics, thus, has become strongly rooted in all empirical research in the medical, social, and engineering sciences. The abundance of computer programs and the variety of methods available to users brought to light the critical issues of choosing models and, given a data set, the methods most suitable for its analysis. Mathematical statisticians have devoted a great deal of effort to studying the appropriateness of models for various types of data, and defining the conditions under which a particular method work. " In 1985 an international conference with a similar title* was held in Is rael. It provided a platform for a formal debate between the two main schools of thought in Statistics, the Bayesian, and the Frequentists.
Goodness-of-fit Testing of Error Distribution in Nonparametric ARCH(1) Models and Linear Measurement Error Models
Goodness-of-fit Testing of Error Distribution in Nonparametric ARCH(1) Models and Linear Measurement Error Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Goodness-of-fit Testing of Error Distribution in Nonparametric ARCH(1) Models and Linear Measurement Error Models write by Xiaoqing Zhu. This book was released on 2015. Goodness-of-fit Testing of Error Distribution in Nonparametric ARCH(1) Models and Linear Measurement Error Models available in PDF, EPUB and Kindle.
