Proceedings of the 4th International Meeting of Statistics in the Basque Country, San Sebastian, Spain, 4–7 August, ... A New Graphical Test for Multivariate Normality. ... Probability Distributions and its Uses in Fitting Data.
Publisher: Walter de Gruyter GmbH & Co KG
Category: Technology & Engineering
In recent years, significant progress has been made in statistical theory. New methodologies have emerged, as an attempt to bridge the gap between theoretical and applied approaches. This volume presents some of these developments, which already have had a significant impact on modeling, design, and analysis of statistical experiments. The chapters cover a wide range of topics of current interest in applied as well as theoretical statistics and probability. They include some aspects of the design of experiments in which there are current developments: regression methods, decision theory, nonparametric theory, simulation and computational statistics, time series, reliability, and queueing networks. Also included are chapters on some aspects of probability theory, which, apart from their intrinsic mathematical interest, have significant applications in statistics.
This volume presents some of these developments, which already have had a significant impact on modeling, design, and analysis of statistical experiments.
Author: José Pérez Vilaplana
Author: Robiah Adnan
Category: Mathematical statistics
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.
Advances in Applied Probability 32, 19-38. Chan, H. P., and Lai, T. L. (2000). Saddlepoint approximations for Markov random walks and nonlinear boundary crossing probabilities for scan statistics. Technical Report, Stanford University.
Author: Ricardo Baeza-Yates
Publisher: Springer Science & Business Media
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.
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.
Author: Samuel Kotz
Publisher: John Wiley & Sons
The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: • algorithic approaches • wavelets and nonlinear smoothers • graphical methods and data mining • biostatistics and bioinformatics • bagging and boosting • support vector machines • resampling methods
This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium.
Author: M.G. Akritas
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.
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.
Author: António Pacheco
This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods. The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.
For some comprehensive surveys on the distance approach to statistics and probability, the reader is referred to the insightful books of, e.g. Liese and Vajda (1987), Read and Cressie (1988), Vajda (1989), Csiszar and Shields (2004), ...
Author: Claudio Agostinelli
Category: Business & Economics
Author: M. Haseeb Rizvi
Category: Mathematical statistics
Measurement and burden of evidence; Data modeling using quantile and density-quantile functions; Stochastic processes in the theory of epidemics; The bayesian approach to statistics; Concomitants of order statistics: theory and applications; Decision and modelling for extremes; An overview of techniques of data analysis, emphasizing its exploratory aspects; Computer intensive methods in statistics; Current issues in robust statistics; Bayeasina evaluation of life test sampling plans; The statistical analysis of incomplete life length data.
Once convinced of this , he needs to assess probabilities , to supply actual numbers . Since he has not been doing this he needs to develop expertise and to develop tools to assist him . The objector is correct in asking his question ...
Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. A
Both options are discussed in the paper , and statistical techniques are presented which improve the extrapolation process . Recent advances in the probabilistic analysis of dynamics and their effect on lifetime loading are also ...
Author: Michael Faber
Publisher: CRC Press
Category: Technology & Engineering
Professor Puri is one of the most versatile and prolific researchers in the world in mathematical statistics. His research areas include nonparametric statistics, order statistics, limit theory under mixing, time series, splines, tests of normality, generalized inverses of matrices and related topics, stochastic processes, statistics of directional data, random sets, and fuzzy sets and fuzzy measures. His fundamental contributions in developing new rank-based methods and precise evaluation of the standard procedures, asymptotic expansions of distributions of rank statistics, as well as large deviation results concerning them, span such areas as analysis of variance, analysis of covariance, multivariate analysis, and time series, to mention a few. His in-depth analysis has resulted in pioneering research contributions to prominent journals that have substantial impact on current research. This book together with the other two volumes (Volume 2: Probability Theory and Extreme Value Theory; Volume 3: Time Series, Fuzzy Analysis and Miscellaneous Topics), are a concerted effort to make his research works easily available to the research community. The sheer volume of the research output by him and his collaborators, coupled with the broad spectrum of the subject matters investigated, and the great number of outlets where the papers were published, attach special significance in making these works easily accessible. The papers selected for inclusion in this work have been classified into three volumes each consisting of several parts. All three volumes carry a final part consisting of the contents of the other two, as well as the complete list of Professor Puri's publications.
1987  New Perspectives in Theoretical and Applied Statistics. John Wiley and Sons, New York, 544 pages. ... 1994  Recent Advances in Statistics and Probability: Proceedings of the 4th International Meeting of Statistics in the ...
Author: Madan Lal Puri
Publisher: Walter de Gruyter
Marta Catalano, Antonio Lijoi, and Igor Prünster Abstract Random vectors of measures are at the core of many recent developments in Bayesian nonparametrics. For a deep understanding of these infinite-dimensional discrete random ...
Author: Daniel Hernández-Hernández
Publisher: Springer Nature
[ 2 ] J. O. IRWIN , " Recent advances in mathematical statistics , ” J. Roy . Statist . Soc . , Ser . A , Vol . ... [ 8 ] J. NEYMAN , First Course in Probability and Statistics , New York , Holt , 1950 . [ 9 ] T. E. HARRIS , P. MEIER ...
Author: Jerzy Neyman
Publisher: Univ of California Press
Notions of probability and uncertainty have been increasingly prominant in modern economics. This book considers the philosophical and practical difficulties inherent in integrating these concepts into realistic economic situations. It outlines and evaluates the major developments, indicating where further work is needed. This book addresses: * probability, utility and rationality within current economic thought and practice * concepts of ignorance and indeterminancy * experimental economics * econometrics, with particular reference inference and estimation.
Advances in Econometrics (Cambridge: Cambridge University Press) vol. 2, ch. 9. Lehmann, EL. (1959) Testing Statistical Hypotheses (New York: Wiley). Leontief, W. (1971) 'Theoretical assumptions and nonobserved facts', American Economic ...
Author: Omar Hamouda
Category: Business & Economics
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
This book presents key information for understanding the essential aspects of basic probability theory and concepts of reliability as an application.
Author: Aliakbar Montazer Haghighi
Publisher: CRC Press
This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded, or when the acoustical, articulate, or phonetic characteristics of speech in the training and testing environments differ. Obstacles to robust recognition include acoustical degradations produced by additive noise, the effects of linear filtering, nonlinearities in transduction or transmission, as well as impulsive interfering sources, and diminished accuracy caused by changes in articulation produced by the presence of high-intensity noise sources. Although progress over the past decade has been impressive, there are significant obstacles to overcome before speech recognition systems can reach their full potential. Automatic speech recognition (ASR) systems must be robust to all levels, so that they can handle background or channel noise, the occurrence on unfamiliar words, new accents, new users, or unanticipated inputs. They must exhibit more 'intelligence' and integrate speech with other modalities, deriving the user's intent by combining speech with facial expressions, eye movements, gestures, and other input features, and communicating back to the user through multimedia responses. Therefore, as speech recognition technology is transferred from the laboratory to the marketplace, robustness in recognition becomes increasingly significant. This E-book should be useful to computer engineers interested in recent developments in speech recognition technology.
Journal of Business. 2005;78:134-176.  Abramowitz M and Stegun I. Handbook of Mathematical Functions. New York: Dover Publ., 1968, ch. 11.  Seneta E. Fitting the Variance-Gamma to Financial Data. Journal of Applied Probability.
Author: Javier Ramírez
Publisher: Bentham Science
Mathematical probability and statistics are an attractive, thriving, and respectable part of mathematics. Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.
This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.
Author: Abdo Abou Jaoude
Publisher: BoD – Books on Demand
This book consists of 18 papers presented at the KIER-TMU International Workshop on Financial Engineering 2009. These papers address state-of-the-art techniques in financial engineering, and they are selected through appropriate referees'' evaluation followed by the editors'' final decision in order to make this book a high-quality one. The KIER-TMU International Workshop on Financial Engineering was held for the first time in 2009. Prof. Kijima (the Chair of this workshop) and his colleagues held the Daiwa International Workshop on Financial Engineering in Tokyo from 2004-2008. Each year, various kinds of interesting and high-quality studies are presented by many researchers from various countries, from both academia and the industry. Accordingly, this workshop serves as a bridge between academic researchers on financial engineering and practitioners. In 2009, the Institute of Economic Research, Kyoto University (KIER) and Tokyo Metropolitan University (TMU) held a new international workshop, the KIER-TMU International Workshop on Financial Engineering, which is regarded as a successor to the Daiwa International Workshop.
Nakano, Y., Minimization of shortfall risk in a jump-diffusion model, Statistics & Probability Letters, 67, ... Probability, 9, (1999), 1303–1328. New Unified Computational Algorithm in a High-Order Asymptotic Expansion Scheme∗ 230.
Author: Masaaki Kijima
Publisher: World Scientific
Category: Business & Economics