Home eBooks Download › rank based methods for shrinkage and selection

Rank Based Methods For Shrinkage And Selection

Download Rank Based Methods For Shrinkage And Selection PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Rank Based Methods For Shrinkage And Selection book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Rank Based Methods For Shrinkage And Selection

DOWNLOAD
Author : A. K. Md. Ehsanes Saleh
language : en
Publisher: John Wiley & Sons
Release Date : 2022-04-12

Rank Based Methods For Shrinkage And Selection written by A. K. Md. Ehsanes Saleh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-12 with Mathematics categories.

Rank-Based Methods for Shrinkage and Selection A practical and hands-on guide to the theory and methodology of statistical estimation based on rank Robust statistics is an important field in contemporary mathematics and applied statistical methods. Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset selection to obtain parsimonious models with outlier-free prediction. This book is intended for statisticians, economists, biostatisticians, data scientists and graduate students. Rank-Based Methods for Shrinkage and Selection elaborates on rank-based theory and application in machine learning to robustify the least squares methodology. It also includes: Development of rank theory and application of shrinkage and selection Methodology for robust data science using penalized rank estimators Theory and methods of penalized rank dispersion for ridge, LASSO and Enet Topics include Liu regression, high-dimension, and AR(p) Novel rank-based logistic regression and neural networks Problem sets include R code to demonstrate its use in machine learning

Rank Based Methods For Shrinkage And Selection

DOWNLOAD
Author : A. K. Md. Ehsanes Saleh
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-22

DOWNLOAD
Author :
language : en
Publisher: John Wiley & Sons
Release Date :

written by and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Uncertainty Quantification Techniques In Statistics

DOWNLOAD
Author : Jong-Min Kim
language : en
Publisher: MDPI
Release Date : 2020-04-03

Uncertainty Quantification Techniques In Statistics written by Jong-Min Kim and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-03 with Science categories.

Uncertainty quantification (UQ) is a mainstream research topic in applied mathematics and statistics. To identify UQ problems, diverse modern techniques for large and complex data analyses have been developed in applied mathematics, computer science, and statistics. This Special Issue of Mathematics (ISSN 2227-7390) includes diverse modern data analysis methods such as skew-reflected-Gompertz information quantifiers with application to sea surface temperature records, the performance of variable selection and classification via a rank-based classifier, two-stage classification with SIS using a new filter ranking method in high throughput data, an estimation of sensitive attribute applying geometric distribution under probability proportional to size sampling, combination of ensembles of regularized regression models with resampling-based lasso feature selection in high dimensional data, robust linear trend test for low-coverage next-generation sequence data controlling for covariates, and comparing groups of decision-making units in efficiency based on semiparametric regression.

Ranked Set Sampling

DOWNLOAD
Author : Munir Ahmad
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2010-09-13

Ranked Set Sampling written by Munir Ahmad and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-13 with Social Science categories.

Ranked Set Sampling is one of the new areas of study in this region of the world and is a growing subject of research. Recently, researchers have paid attention to the development of the types of sampling; though it was not welcome in the beginning, it has numerous advantages over the classical sampling techniques. Ranked Set Sampling is doubly random and can be used in any survey designs. The Pakistan Journal of Statistics had attracted statisticians and samplers around the world to write up aspects of Ranked Set Sampling. All of the essays in this book have been reviewed by many critics. This volume can be used as a reference book for postgraduate students in economics, social sciences, medical and biological sciences, and statistics. The subject is still a hot topic for MPhil and PhD students for their dissertations.

Tensors For Data Processing

DOWNLOAD
Author : Yipeng Liu
language : en
Publisher: Academic Press
Release Date : 2021-10-21

Tensors For Data Processing written by Yipeng Liu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-21 with Technology & Engineering categories.

Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. This reference is ideal for students, researchers and industry developers who want to understand and use tensor-based data processing theories and methods. As a higher-order generalization of a matrix, tensor-based processing can avoid multi-linear data structure loss that occurs in classical matrix-based data processing methods. This move from matrix to tensors is beneficial for many diverse application areas, including signal processing, computer science, acoustics, neuroscience, communication, medical engineering, seismology, psychometric, chemometrics, biometric, quantum physics and quantum chemistry. - Provides a complete reference on classical and state-of-the-art tensor-based methods for data processing - Includes a wide range of applications from different disciplines - Gives guidance for their application

Basic Sciences Of Nuclear Medicine

DOWNLOAD
Author : Magdy M. Khalil
language : en
Publisher: Springer Nature
Release Date : 2021-05-26

Basic Sciences Of Nuclear Medicine written by Magdy M. Khalil and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-26 with Medical categories.

This book provides comprehensive and detailed information on the scientific bases of nuclear medicine, addressing a wide variety of topics and explaining the concepts that underlie many of the investigations and procedures performed in the field. The book is divided into six sections that cover the physics and chemistry of nuclear medicine besides associated quality assurance/quality control procedures; dosimetry and radiation biology; SPECT and PET imaging instrumentation plus CT imaging technology in hybrid modalities; data analysis including image processing, reconstruction, radiomics, image degrading correction techniques, along with image quantitation and kinetic modeling. Within these sections, particular attention is paid to recent developments and the advances in knowledge that have taken place since release of the first edition in 2011. Several entirely new chapters have been included and the remaining chapters, thoroughly updated. Innovations in the ever-expanding field of nuclear medicine are predominantly due to integration of the basic sciences with complex technological advances. This excellently illustrated book on the subject will be of interest to not only nuclear medicine physicists and physicians but also clinical scientists, radiologists, radiopharmacists, medical students and technologists.

Data Compression In Spectroscopy

DOWNLOAD
Author : Joseph Dubrovkin
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2022-07-21

Data Compression In Spectroscopy written by Joseph Dubrovkin and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-21 with Technology & Engineering categories.

This book summarizes studies and major materials on data compression methods in analytical spectroscopy, including some important topics on imaging. Its rigorous mathematical basis, in-depth detailed description, and numerous examples of the applications in chemistry and physics will be of value for theorists, practitioners, and students specializing in spectroscopy, chemometrics, and analytical chemistry. This text differs from existing brief reviews and articles on this topic in that it forms, for the first time, an overview of all kinds of compression methods in spectroscopy. In addition, it provides quickly reproducible computer calculations, illustrating its significant theoretical statements. As such, it can also serve as a practical guide to lecturers in spectroscopy, chemometrics, and analytical chemistry.

Digital Forensic Science

DOWNLOAD
Author : B Suresh Shetty
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-09-30

Digital Forensic Science written by B Suresh Shetty and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Computers categories.

It is our pleasure to place before you the book Digital Forensic Science. This book makes up a major part of the broad specialty of Digital Forensic Science, comprising mainly of tools and technologies of cyber forensic experts for their future practice. This book has been designed to merge a range of new ideas and unique works of authors from topics like fundamental principles of forensic cyber analysis, and protocols and rules needed for the best digital forensics. We hope that it will be useful to practitioners of forensic medicine, experts, cyber experts, law makers, investigating authorities, and undergraduate and postgraduate medical school graduates of medicine.

Python Machine Learning

DOWNLOAD
Author : Dr. Jeevitha Sivasamy
language : en
Publisher: RK Publication
Release Date : 2024-08-28

Python Machine Learning written by Dr. Jeevitha Sivasamy and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Computers categories.

Python Machine Learning is a comprehensive guide to implementing machine learning algorithms using Python. It covers essential concepts in supervised and unsupervised learning, neural networks, and deep learning. With practical examples and step-by-step tutorials, Ideal for both beginners and experienced developers seeking to build, optimize, and deploy machine learning models. It emphasizes hands-on practice, showcasing real-world applications and providing readers with the tools to solve complex problems with Python and popular libraries like scikit-learn, TensorFlow, and Keras.

Rank Based Methods For Shrinkage And Selection

Recent Posts