Recent Advances In Statistics And Probability

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Recent Advances in Applied Probability

Ricardo Baeza-Yates,Joseph Glaz,Henryk Gzyl,Jürg Hüsler,José Luis Palacios
Recent Advances in Applied Probability Book PDF

Author : Ricardo Baeza-Yates,Joseph Glaz,Henryk Gzyl,Jürg Hüsler,José Luis Palacios
Publisher : Springer Science & Business Media
Page : 497 pages
File Size : 52,5 Mb
Release : 2006-02-28
Category : Mathematics
ISBN : 9780387233949

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Recent Advances in Applied Probability by Ricardo Baeza-Yates,Joseph Glaz,Henryk Gzyl,Jürg Hüsler,José Luis Palacios Pdf

Applied probability is a broad research area that is of interest to scientists in diverse disciplines in science and technology, including: anthropology, biology, communication theory, economics, epidemiology, finance, geography, linguistics, medicine, meteorology, operations research, psychology, quality control, sociology, and statistics. Recent Advances in Applied Probability is a collection of survey articles that bring together the work of leading researchers in applied probability to present current research advances in this important area. This volume will be of interest to graduate students and researchers whose research is closely connected to probability modelling and their applications. It is suitable for one semester graduate level research seminar in applied probability.

Recent Advances in Statistics and Probability

J. P. Vilaplana,M. N. Puri
Recent Advances in Statistics and Probability Book PDF

Author : J. P. Vilaplana,M. N. Puri
Publisher : Walter de Gruyter GmbH & Co KG
Page : 480 pages
File Size : 40,9 Mb
Release : 2020-05-18
Category : Mathematics
ISBN : 9783112313961

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Recent Advances in Statistics and Probability by J. P. Vilaplana,M. N. Puri Pdf

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Advances in Probability and Mathematical Statistics

Daniel Hernández‐Hernández,Florencia Leonardi,Ramsés H. Mena,Juan Carlos Pardo Millán
Advances in Probability and Mathematical Statistics Book PDF

Author : Daniel Hernández‐Hernández,Florencia Leonardi,Ramsés H. Mena,Juan Carlos Pardo Millán
Publisher : Springer Nature
Page : 178 pages
File Size : 40,8 Mb
Release : 2021-11-14
Category : Mathematics
ISBN : 9783030853259

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Advances in Probability and Mathematical Statistics by Daniel Hernández‐Hernández,Florencia Leonardi,Ramsés H. Mena,Juan Carlos Pardo Millán Pdf

This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical Statistics (CLAPEM) in December 2019 in Mérida-Yucatán, México. They represent well the wide set of topics on probability and statistics that was covered at this congress, and their high quality and variety illustrates the rich academic program of the conference.

Probability and Statistics

Michael J. Evans,Jeffrey S. Rosenthal
Probability and Statistics Book PDF

Author : Michael J. Evans,Jeffrey S. Rosenthal
Publisher : WH Freeman
Page : 200 pages
File Size : 47,5 Mb
Release : 2010-03-01
Category : Mathematics
ISBN : 1429224630

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Probability and Statistics by Michael J. Evans,Jeffrey S. Rosenthal Pdf

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

Understanding Advanced Statistical Methods

Peter Westfall,Kevin S. S. Henning
Understanding Advanced Statistical Methods Book PDF

Author : Peter Westfall,Kevin S. S. Henning
Publisher : CRC Press
Page : 572 pages
File Size : 52,8 Mb
Release : 2013-04-09
Category : Mathematics
ISBN : 9781466512115

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Understanding Advanced Statistical Methods by Peter Westfall,Kevin S. S. Henning Pdf

Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian me

Recent Advances in Mathematical and Statistical Methods

D. Marc Kilgour,Herb Kunze,Roman Makarov,Roderick Melnik,Xu Wang
Recent Advances in Mathematical and Statistical Methods Book PDF

Author : D. Marc Kilgour,Herb Kunze,Roman Makarov,Roderick Melnik,Xu Wang
Publisher : Springer
Page : 646 pages
File Size : 40,9 Mb
Release : 2018-11-04
Category : Computers
ISBN : 9783319997193

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Recent Advances in Mathematical and Statistical Methods by D. Marc Kilgour,Herb Kunze,Roman Makarov,Roderick Melnik,Xu Wang Pdf

This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems. The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines.

Advances on Theoretical and Methodological Aspects of Probability and Statistics

N. Balakrishnan
Advances on Theoretical and Methodological Aspects of Probability and Statistics Book PDF

Author : N. Balakrishnan
Publisher : CRC Press
Page : 562 pages
File Size : 45,7 Mb
Release : 2003-04-24
Category : Mathematics
ISBN : 0203493206

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Advances on Theoretical and Methodological Aspects of Probability and Statistics by N. Balakrishnan Pdf

At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field.

A Probability and Statistics Companion

John J. Kinney
A Probability and Statistics Companion Book PDF

Author : John J. Kinney
Publisher : John Wiley & Sons
Page : 280 pages
File Size : 45,8 Mb
Release : 2009-05-06
Category : Mathematics
ISBN : 0470486961

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A Probability and Statistics Companion by John J. Kinney Pdf

An accessible and engaging introduction to the study of probability and statistics Utilizing entertaining real-world examples, A Probability and Statistics Companion provides aunique, interesting, and accessible introduction to probability and statistics. This one-of-a-kind book delves into practical topics that are crucial in the analysis of sample surveys and experimentation. This handy book contains introductory explanations of the major topics in probability and statistics, including hypothesis testing and regression, while also delving into more advanced topics such as the analysis of sample surveys, analysis of experimental data, and statistical process control. The book recognizes that there are many sampling techniques that can actually improve on simple random sampling, and in addition, an introduction to the design of experiments is provided to reflect recent advances in conducting scientific experiments. This blend of coverage results in the development of a deeper understanding and solid foundation for the study of probability and statistics. Additional topical coverage includes: Probability and sample spaces Choosing the best candidate Acceptance sampling Conditional probability Random variables and discrete probability distributions Waiting time problems Continuous probability distributions Statistical inference Nonparametric methods Least squares and medians Recursions and probability Each chapter contains exercises and explorations for readers who wish to conduct independent projects or investigations. The discussion of most methods is complemented with applications to engaging, real-world scenarios such as winning speeds at the Indianapolis 500 and predicting winners of the World Series. In addition, the book enhances the visual nature of the subject with numerous multidimensional graphical representations of the presented examples. A Probability and Statistics Companion is an excellent book for introductory probability and statistics courses at the undergraduate level. It is also a valuable reference for professionals who use statistical concepts to make informed decisions in their day-to-day work.

Probability for Statistics and Machine Learning

Anirban DasGupta
Probability for Statistics and Machine Learning Book PDF

Author : Anirban DasGupta
Publisher : Springer Science & Business Media
Page : 796 pages
File Size : 53,5 Mb
Release : 2011-05-17
Category : Mathematics
ISBN : 9781441996343

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Probability for Statistics and Machine Learning by Anirban DasGupta Pdf

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.

Recent Advances in Statistical Methods

Yogendra P. Chaubey
Recent Advances in Statistical Methods Book PDF

Author : Yogendra P. Chaubey
Publisher : World Scientific Publishing Company
Page : 366 pages
File Size : 49,5 Mb
Release : 2002-01-01
Category : Mathematics
ISBN : 1860943330

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Recent Advances in Statistical Methods by Yogendra P. Chaubey Pdf

This volume constitutes the proceedings of the 4th Conference in Applied Statistics, held in Montreal in 2001, and it consists of research papers dealing with computational and methodological issues of statistical methods on the cutting edge of modern science. It touches on many applied fields such as Bayesian methods, biostatistics, econometrics, finite population sampling, genomics, linear and nonlinear models, networks and queues, survival analysis, time series, and many more.

Probability, Statistics, and Stochastic Processes for Engineers and Scientists

Aliakbar Montazer Haghighi,Indika Wickramasinghe
Probability Statistics and Stochastic Processes for Engineers and Scientists Book PDF

Author : Aliakbar Montazer Haghighi,Indika Wickramasinghe
Publisher : CRC Press
Page : 635 pages
File Size : 46,9 Mb
Release : 2020-07-14
Category : Mathematics
ISBN : 9781351238397

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Probability, Statistics, and Stochastic Processes for Engineers and Scientists by Aliakbar Montazer Haghighi,Indika Wickramasinghe Pdf

2020 Taylor & Francis Award Winner for Outstanding New Textbook! Featuring recent advances in the field, this new textbook presents probability and statistics, and their applications in stochastic processes. This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application. The purpose of this book is to provide an option in this field that combines these areas in one book, balances both theory and practical applications, and also keeps the practitioners in mind. Features Includes numerous examples using current technologies with applications in various fields of study Offers many practical applications of probability in queueing models, all of which are related to the appropriate stochastic processes (continuous time such as waiting time, and fuzzy and discrete time like the classic Gambler’s Ruin Problem) Presents different current topics like probability distributions used in real-world applications of statistics such as climate control and pollution Different types of computer software such as MATLAB®, Minitab, MS Excel, and R as options for illustration, programing and calculation purposes and data analysis Covers reliability and its application in network queues

Advanced Statistics with Applications in R

Eugene Demidenko
Advanced Statistics with Applications in R Book PDF

Author : Eugene Demidenko
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 51,8 Mb
Release : 2019-11-12
Category : Mathematics
ISBN : 9781118387986

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Advanced Statistics with Applications in R by Eugene Demidenko Pdf

Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said π? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened. This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.

New Advances in Statistical Modeling and Applications

António Pacheco,Rui Santos,Maria do Rosário Oliveira,Carlos Daniel Paulino
New Advances in Statistical Modeling and Applications Book PDF

Author : António Pacheco,Rui Santos,Maria do Rosário Oliveira,Carlos Daniel Paulino
Publisher : Springer
Page : 283 pages
File Size : 53,7 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9783319053233

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New Advances in Statistical Modeling and Applications by António Pacheco,Rui Santos,Maria do Rosário Oliveira,Carlos Daniel Paulino Pdf

This volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazaré, from September 28 to October 1, 2011. All contributions were selected after a thorough peer-review process. It covers a broad scope of papers in the areas of Statistical Science, Probability and Stochastic Processes, Extremes and Statistical Applications.

High-Dimensional Probability

Roman Vershynin
High Dimensional Probability Book PDF

Author : Roman Vershynin
Publisher : Cambridge University Press
Page : 299 pages
File Size : 41,6 Mb
Release : 2018-09-27
Category : Business & Economics
ISBN : 9781108415194

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High-Dimensional Probability by Roman Vershynin Pdf

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Advances in the Theory and Practice of Statistics

Samuel Kotz
Advances in the Theory and Practice of Statistics Book PDF

Author : Samuel Kotz
Publisher : John Wiley & Sons
Page : 690 pages
File Size : 45,5 Mb
Release : 1997-04-11
Category : Mathematics
ISBN : 0471155748

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Advances in the Theory and Practice of Statistics by Samuel Kotz Pdf

In honor of Samuel Kotz, an international collection of articles on the latest advances in statistics. This tribute to Samuel Kotz features articles by eminent statisticians from around the world, all recognizing the lifetime of accomplishments of one of the premier statisticians of our time. Centered on distributions, models, and their applications, this book highlights some recent developments in both theory and applications of statistics. Editors Norman L. Johnson and N. Balakrishnan, both of whom have collaborated extensively with Samuel Kotz, have gathered contributions from theoreticians and practitioners in 18 countries, giving the volume a global perspective. Each article is classified into one of 10 areas in the theory and practice of statistics. The areas highlighted in this volume are: Statistics in the world. Models. Biostatistics. Testing and estimation. Univariate distributions. Multivariate distributions. Characterizations. Probability. Bayes theory. Descriptive statistics. Many of the articles in the volume highlight Samuel Kotz's pioneering and fundamental contributions to these areas. Commemorative articles by those who knew and worked with Samuel Kotz, as well as the detailed exploration of classical and new directions in statistical research, make this volume an essential addition to any statistics library.