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Statistical Methods for Machine Learning: Discover how to Transform Data into Knowledge with Python

Posted By: readerXXI
Statistical Methods for Machine Learning: Discover how to Transform Data into Knowledge with Python

Statistical Methods for Machine Learning: Discover how to Transform Data into Knowledge with Python
Jason Brownlee
English | 2019 | ISBN: n/a | 291 Pages | True PDF | 2.5 MB

Statistical Mechanics and Statistical Methods in Theory and Applications

Posted By: AvaxGenius
Statistical Mechanics and Statistical Methods in Theory and Applications

Statistical Mechanics and Statistical Methods in Theory and Applications by Uzi Landman
English | PDF | 1977 | Pages | ISBN : 146134168X | 79.2 MB

Statistical Mechanics and Statistical Methods in Theory and Applications.
This volume of essays is dedicated to Professor Elliott Waters Montroll on his sixtieth birthday. The outstanding scientific work of Professor Montroll, his record as a teacher, lecturer and director of research, his active role on numerous governmental, academic and industrial advisory boards and panels, his editorial endeavors and the long line of students, collaborators, colleagues and friends are all a testimony to his con- tributions to science and society.

Foundations of Applied Statistical Methods, 2nd Edition

Posted By: hill0
Foundations of Applied Statistical Methods, 2nd Edition

Foundations of Applied Statistical Methods
English | 2023 | ISBN: 3031422953 | 187 Pages | PDF EPUB (True) | 20 MB

Robust Statistical Methods

Posted By: AvaxGenius
Robust Statistical Methods

Robust Statistical Methods by William J. J. Rey
English | PDF | 1978 | 134 Pages | ISBN : 3540090916 | 4.7 MB

During the last nine years, several problems in the statistical processing of biomedical data have been encountered by the author. These problems had in common the fact that most of the usual assumptions were without any solid basis. Poor quality samples drawn from unknown distributions, usually non-normal and frequently non-stationary, were the ordinary lot; nevertheless, sophisticated parameters had to be reliably estimated and the scatter of the estimators was needed to permit comparison of the results. This has been partly solved by application of robust methods.

Statistical Methods in Online A/B Testing

Posted By: eBookRat
Statistical Methods in Online A/B Testing

Statistical Methods in Online A/B Testing: Statistics for data-driven business decisions and risk management in e-commerce by Georgi Z. Georgiev
English | Sep. 27, 2019 | ISBN: 0003684466 | eISBN: 1230003684467 | 304 Pages | EPUB | 5.8 MB

"Statistical Methods in Online A/B Testing" is a comprehensive guide to statistics in online controlled experiments, a.k.a. A/B tests, that tackles the difficult matter of statistical inference in a way accessible to readers with little to no prior experience with it.

Optimization

Posted By: AvaxGenius
Optimization

Optimization by Kenneth Lange
English | PDF | 2004 | 260 Pages | ISBN : 1441919104 | 20.1 MB

Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on convexity serves as bridge between linear and nonlinear programming and makes it possible to give a modern exposition of linear programming based on the interior point method rather than the simplex method.

Statistical Methods for Data Analysis: With Applications in Particle Physics

Posted By: AvaxGenius
Statistical Methods for Data Analysis: With Applications in Particle Physics

Statistical Methods for Data Analysis: With Applications in Particle Physics by Luca Lista
English | PDF | 2023 | 358 Pages | ISBN : 3031199332 | 32.8 MB

This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP).

Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler

Posted By: AvaxGenius
Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler

Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler by Mengxi Yi, Klaus Nordhausen
English | PDF,EPUB | 2023 | 500 Pages | ISBN : 3031226860 | 76.4 MB

This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.

Statistical Methods and Modeling of Seismogenesis

Posted By: AvaxGenius
Statistical Methods and Modeling of Seismogenesis

Statistical Methods and Modeling of Seismogenesis Coordinated by Nikolaos Limnios, Eleftheria Papadimitriou, George Tsaklidis
English | PDF(True) | 2021 | 323 Pages | ISBN : 1789450373 | 17.26 MB

The study of earthquakes is a multidisciplinary field, an amalgam of geodynamics, mathematics, engineering and more. The overriding commonality between them all is the presence of natural randomness.

Statistical Methods for Forecasting

Posted By: AvaxGenius
Statistical Methods for Forecasting

Statistical Methods for Forecasting by Bovas Abraham, Johannes Ledolter
English | PDF | 1983 | 458 Pages | ISBN : 0471867640 | 22.8 MB

Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government.

Statistical Methods: The Geometric Approach

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Statistical Methods: The Geometric Approach

Statistical Methods: The Geometric Approach by David J. Saville, Graham R. Wood
English | PDF | 1991 | 567 Pages | ISBN : 0387975179 | 37 MB

This book is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. The key feature is that these tools are viewed in their natural mathematical setting, the geometry of finite dimensions. The Authors To introduce ourselves, Dave Saville is a practicing statistician working in agricultural research; Graham Wood is a university lecturer involved in the teaching of statistical methods. Each of us has worked for sixteen years in our current field. Features of the Book People like pictures. One picture can present a set of ideas at a glance, while a series of pictures, each building on the last, can unify a wealth of ideas. Such a series we present in this text by means of a systematic geometric approach to the presentation of the theory of basic statistical methods.

Statistical Methods for the Analysis of Repeated Measurements

Posted By: AvaxGenius
Statistical Methods for the Analysis of Repeated Measurements

Statistical Methods for the Analysis of Repeated Measurements by Charles S. Davis
English | PDF(True) | 2002 | 434 Pages | ISBN : 0387953701 | 3.8 MB

This book provides a comprehensive summary of a wide variety of statistical methods for the analysis of repeated measurements. It is designed to be both a useful reference for practitioners and a textbook for a graduate-level course focused on methods for the analysis of repeated measurements.

Statistical Modeling for Naturalists

Posted By: readerXXI
Statistical Modeling for Naturalists

Statistical Modeling for Naturalists
by Pedro F. Quintana Ascencio, Federico Lopez Borghesi
English | 2022 | ISBN: 152757587X | 212 Pages | True PDF | 6.73 MB

Introduction to Robust and Quasi-Robust Statistical Methods

Posted By: AvaxGenius
Introduction to Robust and Quasi-Robust Statistical Methods

Introduction to Robust and Quasi-Robust Statistical Methods by William J. J. Rey
English | PDF | 1983 | 247 Pages | ISBN : 3540128662 | 16.9 MB

The term "robustness" does not lend itself to a clear-cut statistical definition. It seems to have been introduced by G. E. P. Box in 1953 to cover a rather vague concept described in the following way by Kendall and Buckland (1981). Their dictionary states:

Statistical Methods in Quantum Optics 2: Non-Classical Fields

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Statistical Methods in Quantum Optics 2: Non-Classical Fields

Statistical Methods in Quantum Optics 2: Non-Classical Fields by Howard J. Carmichael
English | PDF(True) | 2008 | 551 Pages | ISBN : 3540713190 | 9.3 MB

Statistical Methods in Quantum Optics 2 - Non-Classical Fields continues the development of the methods used in quantum optics to treat open quantum systems and their fluctuations. Its early chapters build upon the phase-space methods introduced in the first volume Statistical Methods in Quantum Optics 1 - Matter Equations and Fokker-Planck Equations: the difficulties these methods face in treating non-classical light are exposed, where the regime of large fluctuations – failure of the system size expansion – is shown to be particularly problematic. Cavity QED is adopted as a natural vehicle for extending quantum noise theory into this regime. In response to the issues raised, the theory of quantum trajectories is presented as a universal approach to the treatment of fluctuations in open quantum systems.