Tags
Language
Tags
March 2024
Su Mo Tu We Th Fr Sa
25 26 27 28 29 1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
31 1 2 3 4 5 6

Advanced Probability and Statistics: Remarks and Problems

Posted By: hill0
Advanced Probability and Statistics: Remarks and Problems

Advanced Probability and Statistics: Remarks and Problems
English | 2023 | ISBN: 1032405155 | 227 Pages | EPUB | 1.1 MB

Machine Learning in Computer Vision

Posted By: AvaxGenius
Machine Learning in Computer Vision

Machine Learning in Computer Vision by N. Sebe , Ira Cohen , Ashutosh Garg , Thomas S. Huang
English | PDF (True) | 2005 | 253 Pages | ISBN : 1402032749 | 5.2 MB

It started with image processing in the sixties. Back then, it took ages to digitize a Landsat image and then process it with a mainframe computer. Pro- cessing was inspired on the achievements of signal processing and was still very much oriented towards programming.

Higher Mathematics for Science and Engineering

Posted By: AvaxGenius
Higher Mathematics for Science and Engineering

Higher Mathematics for Science and Engineering by Aliakbar Montazer Haghighi , Abburi Anil Kumar , Dimitar P. Mishev
English | PDF EPUB (True) | 2024 | 682 Pages | ISBN : 9819954304 | 75.3 MB

This textbook provides a comprehensive, thorough and up-to-date treatment of topics of mathematics that an engineer and scientist would need, at the basic levels that contents of engineering and sciences are built by. For this purpose, natural readers would be junior and senior undergraduate students, who normally have the content of this book under different names on their degree plans. Also, engineers and scientists will benefit from this book since the book is a comprehensive volume for such audiences.

Mixture Models: Parametric, Semiparametric, and New Directions

Posted By: hill0
Mixture Models: Parametric, Semiparametric, and New Directions

Mixture Models: Parametric, Semiparametric, and New Directions
English | 2024 | ISBN: 0367481820 | 398 Pages | PDF (True) | 10 MB

Probability and Statistical Inference (10th Edition)

Posted By: hill0
Probability and Statistical Inference (10th Edition)

Probability and Statistical Inference
English | 2020 | ISBN: 013518939X | 563 Pages | PDF (True) | 8 MB

Math 100 Ideas in 100 Words: A Whistle-stop Tour of Science's Key Concepts

Posted By: First1
Math 100 Ideas in 100 Words: A Whistle-stop Tour of Science's Key Concepts

Math 100 Ideas in 100 Words: A Whistle-stop Tour of Science's Key Concepts by DK
English | March 26th, 2024 | ISBN: 024159491X | 382 pages | True EPUB | 13.84 MB

Maths 100 Ideas in 100 Words offers the essential facts at your fingertips, satisfying your mathematical curiosity and helping you to understand the biggest concepts in maths in concise, 100-word summaries.

COMPSTAT 2004 - Proceedings in Computational Statistics

Posted By: AvaxGenius
COMPSTAT 2004 - Proceedings in Computational Statistics

COMPSTAT 2004 - Proceedings in Computational Statistics: 16th Symposium Held in Prague, Czech Republic, 2004 by Jaromir Antoch
English | PDF | 2004 | 578 Pages | ISBN : 3790815543 | 67.3 MB

Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.

Monte Carlo Statistical Methods

Posted By: AvaxGenius
Monte Carlo Statistical Methods

Monte Carlo Statistical Methods by Christian P. Robert , George Casella
English | PDF | 2004 | 667 Pages | ISBN : 0387212396 | 57 MB

Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation.

Random Graphs and Complex Networks: Volume 2

Posted By: hill0
Random Graphs and Complex Networks: Volume 2

Random Graphs and Complex Networks: Volume 2
English | 2024 | ISBN: 1107174007 | 507 Pages | PDF | 85 MB

Measure-Theoretic Probability: With Applications to Statistics, Finance, and Engineering

Posted By: AvaxGenius
Measure-Theoretic Probability: With Applications to Statistics, Finance, and Engineering

Measure-Theoretic Probability: With Applications to Statistics, Finance, and Engineering by Kenneth Shum
English | PDF EPUB (True) | 2024 | 262 Pages | ISBN: 3031498291 | 23.2 MB

This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with examples from statistics and engineering. The author presents complex concepts in a succinct manner, making otherwise intimidating material approachable to undergraduates who are not necessarily studying mathematics as their major. Throughout, readers will learn how probability serves as the language in a variety of exciting fields. Specific applications covered include the coupon collector’s problem, Monte Carlo integration in finance, data compression in information theory, and more.

Stochastic Approximation: A Dynamical Systems Viewpoint

Posted By: AvaxGenius
Stochastic Approximation: A Dynamical Systems Viewpoint

Stochastic Approximation: A Dynamical Systems Viewpoint by Vivek S. Borkar
English | PDF EPUB (True) | 2024 | 280 Pages | ISBN : 9819982766 | 28.7 MB

This book serves as an advanced text for a graduate course on stochastic algorithms for the students of probability and statistics, engineering, economics and machine learning. This second edition gives a comprehensive treatment of stochastic approximation algorithms based on the ordinary differential equation (ODE) approach which analyses the algorithm in terms of a limiting ODE. It has a streamlined treatment of the classical convergence analysis and includes several recent developments such as concentration bounds, avoidance of traps, stability tests, distributed and asynchronous schemes, multiple time scales, general noise models, etc., and a category-wise exposition of many important applications. It is also a useful reference for researchers and practitioners in the field.

"Bayesian Inference: Recent Trends" ed. by İhsan Bucak

Posted By: exLib
"Bayesian Inference: Recent Trends" ed. by İhsan Bucak

"Bayesian Inference: Recent Trends" ed. by İhsan Bucak
ITexLi | 2024 | ISBN: 1837693552 9781837693559 1837693560 9781837693566 1837693579 9781837693573 | 78 pages | PDF | 6 MB

This book is an invaluable resource for anyone interested in the intersection of statistics, machine learning, and data science. It offers a unique perspective on Bayesian inference, revealing its potential to provide robust solutions in an increasingly data-driven world. The book is your gateway to understanding and leveraging the power of Bayesian methods in the ever-evolving landscape of data analysis.

Nonparametric Analysis of Univariate Heavy‐Tailed Data: Research and Practice

Posted By: AvaxGenius
Nonparametric Analysis of Univariate Heavy‐Tailed Data: Research and Practice

Nonparametric Analysis of Univariate Heavy‐Tailed Data: Research and Practice by Natalia Markovich
English | PDF | 2007 | 328 Pages | ISBN : 0470510870 | 32.1 MB

Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer’s condition, possible non-existence of some moments, and sparse observations in the tail of the distribution.

Periodically Correlated Random Sequences: Spectral Theory and Practice

Posted By: AvaxGenius
Periodically Correlated Random Sequences: Spectral Theory and Practice

Periodically Correlated Random Sequences: Spectral Theory and Practice by Harry L. Hurd, Abolghassem Miamee
English | PDF | 2007 | 370 Pages | ISBN : 047134771X | 14.6 MB

Uniquely combining theory, application, and computing, this bookexplores the spectral approach to time series analysis
The use of periodically correlated (or cyclostationary)processes has become increasingly popular in a range of researchareas such as meteorology, climate, communications, economics, andmachine diagnostics. Periodically Correlated Random Sequencespresents the main ideas of these processes through the use of basicdefinitions along with motivating, insightful, and illustrativeexamples. Extensive coverage of key concepts is provided, includingsecond-order theory, Hilbert spaces, Fourier theory, and thespectral theory of harmonizable sequences. The authors also providea paradigm for nonparametric time series analysis including testsfor the presence of PC structures.

Nonparametric Statistics with Applications to Science and Engineering

Posted By: AvaxGenius
Nonparametric Statistics with Applications to Science and Engineering

Nonparametric Statistics with Applications to Science and Engineering by Paul H. Kvam, Brani Vidakovic
English | PDF | 2007 | 431 Pages | ISBN : 0470081473 | 18.4 MB

A thorough and definitive book that fully addresses traditional and modern-day topics of nonparametric statistics
This book presents a practical approach to nonparametric statistical analysis and provides comprehensive coverage of both established and newly developed methods. With the use of MATLAB, the authors present information on theorems and rank tests in an applied fashion, with an emphasis on modern methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical likelihood, and goodness-of-fit testing.