Download or read book Computational Statistics written by and published by . This book was released on 1994 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Risk Evaluation and Biological Reference Points for Fisheries Management written by National Research Council Canada and published by NRC Research Press. This book was released on 1993 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented: 1) Reference points for fisheries management: the western Canadian experience; 2) Reference points for fisheries management: the eastern Canadian experience; 3) Reference points for fisheries management: the ICES experience; 4) Spawning stock biomass per recruit in fisheries management: foundation and current use; 5) The development of a management procedure for the South African anchovy resource; 6) How much spawning per recruit is enough?; 7) The behaviour of Flow, Fmed and Fhigh in response to variation in parameters used for their estimation; 8) The Barents Sea capelin stock collapse: a lesson to learn; 9) Variance estimates for fisheries assessment: their importance and how best to evaluate them; 10) Evaluating the accuracy of projected catch estimates from sequential population analysis and trawl survey abundance estimates; 11) Bootstrap estimates of ADAPT parameters, their projection in risk analysis and their retrospective patterns; 12) Analytical estimates of reliability for the projected yield from commercial fisheries; 13) Risk evaluation of the 10% harvest rate procedure for capelin in NAFO Division 3L; 14) Using jackknife and Monte Carlo simulation techniques to evaluate forecast models for Atlantic salmon; 15) Monte Carlo evaluation of risks for biological reference points used in New Zealand fishery assessments; 16) A comparison of event free risk analysis to Ricker spawner-recruit simulation: an example with Atlantic menhaden; 17) Choosing a management strategy for stock rebuilding when control is uncertain; 18) Risks and uncertainties in the management of a single-cohort squid fishery: the Falkland Islands Illex fishery as an example; 19) Risks of over- and under-fishing new resources; 20) Estimation of density-dependent natural mortality in British Columbia herring stocks through SSPA and its impact on sustainable harvesting strategies; 21) The comparative performance of production-model and ad hoc tuned VPA based feedback-control management procedures for the stock of Cape hake off the west coast of Africa; 22) A proposal for a threshold stock size and maximum fishing mortality rate; 23) Biological reference points for Canadian Atlantic gadoid stocks; 24) Stochastic locally-optimal harvesting; 25) ITQ based fisheries management; 26) Bioeconomic methods for determining TACs; 27) Management strategies: fixed or variable catch quotas; 28) Bioeconomic impacts of TAC adjustment strategies: a model applied to northern cod; 29) Experimental management programs for two rockfish stocks off British Columbia; 30)A brief overview of the experimental approach to reducing uncertainty in fisheries management; 31) Fisheries management organizations: a study of uncertainty.

Download or read book Functional and Operatorial Statistics written by Sophie Dabo-Niang and published by Springer Science & Business Media. This book was released on 2008-05-21 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able to collect data much more effectively due to their increasingly sophisticated design. This evolution directly concerns statisticians, who have to propose new methodologies while taking into account such high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curves, speech recognition, continuous time series, 3-D images, etc.) in various fields (biology, econometrics, environmetrics, the food industry, medical sciences, paper industry, etc.) make researching this statistical topic very worthwhile. This book gathers important contributions on the functional and operatorial statistics fields.

Download or read book Quantum Mechanics Volume 3 written by Claude Cohen-Tannoudji and published by John Wiley & Sons. This book was released on 2019-12-16 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new, third volume of Cohen-Tannoudji's groundbreaking textbook covers advanced topics of quantum mechanics such as uncorrelated and correlated identical particles, the quantum theory of the electromagnetic field, absorption, emission and scattering of photons by atoms, and quantum entanglement. Written in a didactically unrivalled manner, the textbook explains the fundamental concepts in seven chapters which are elaborated in accompanying complements that provide more detailed discussions, examples and applications. * Completing the success story: the third and final volume of the quantum mechanics textbook written by 1997 Nobel laureate Claude Cohen-Tannoudji and his colleagues Bernard Diu and Franck Laloë * As easily comprehensible as possible: all steps of the physical background and its mathematical representation are spelled out explicitly * Comprehensive: in addition to the fundamentals themselves, the books comes with a wealth of elaborately explained examples and applications Claude Cohen-Tannoudji was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris where he also studied and received his PhD in 1962. In 1973 he became Professor of atomic and molecular physics at the Collège des France. His main research interests were optical pumping, quantum optics and atom-photon interactions. In 1997, Claude Cohen-Tannoudji, together with Steven Chu and William D. Phillips, was awarded the Nobel Prize in Physics for his research on laser cooling and trapping of neutral atoms. Bernard Diu was Professor at the Denis Diderot University (Paris VII). He was engaged in research at the Laboratory of Theoretical Physics and High Energy where his focus was on strong interactions physics and statistical mechanics. Franck Laloë was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris. His first assignment was with the University of Paris VI before he was appointed to the CNRS, the French National Research Center. His research was focused on optical pumping, statistical mechanics of quantum gases, musical acoustics and the foundations of quantum mechanics.

Download or read book Generalized Structured Component Analysis written by Heungsun Hwang and published by CRC Press. This book was released on 2014-12-11 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to alternative specifications, and conduct complex analyses in a straightforward manner. Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling provides a detailed account of this novel statistical methodology and its various extensions. The authors present the theoretical underpinnings of generalized structured component analysis and demonstrate how it can be applied to various empirical examples. The book enables quantitative methodologists, applied researchers, and practitioners to grasp the basic concepts behind this new approach and apply it to their own research. The book emphasizes conceptual discussions throughout while relegating more technical intricacies to the chapter appendices. Most chapters compare generalized structured component analysis to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer a free, online software program (GeSCA) and an Excel-based software program (XLSTAT) for implementing the basic features of generalized structured component analysis.

Download or read book Stochastic Processes in Hydrology written by Vujica M. Yevjevich and published by . This book was released on with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The War on Statistical Significance written by DONALD B. MACNAUGHTON and published by . This book was released on 2021-03-30 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the preface The "threshold p-value"-the arbiter of statistical significance-has been a widely used gateway to believability and acceptance for publication in scientific research since 1925. However, a growing number of statisticians and other researchers say we should "move beyond" these ideas, suggesting we should greatly reduce our emphasis on them in scientific research. These authors are waging a well-intentioned, polite, and vigorous intellectual war on the ideas of a threshold p-value and statistical significance. This is a "good" war, because it forces important issues into the open, where they can be best understood and assessed. This book grew from a sense that the threshold-p-value gateway to publication of scientific research results is highly useful but is also widely misunderstood. The book presents, from first principles, a modern view of the role of the gateway, as used by some scientific journals. The ideas are explained in terms of the recent disagreement about them between the editorial in a Special Issue on Statistical Inference of the American Statistician and a subsequent editorial in the New England Journal of Medicine. The ideas are developed with almost no reference to mathematics. (A computer can do all the standard math if the user properly understands the key ideas.) The explanations are reinforced with practical examples. The discussion shows how the concept of a threshold-p-value gateway helps researchers and journal editors maximize the overall scientific, social, and commercial benefit of scientific research. The gateway does this by optimally balancing the rates of costly "false-positive" and "false-negative" errors in a scientific journal. The book also discusses the important related ideas of a relationship between variables, a scientific hypothesis test, and the "replication crisis" in some branches of scientific research. The body of the book, which covers the key ideas, is roughly 30% of the text. The remainder consists of 23 appendices that expand the ideas in useful directions. The material is aimed at scientific researchers, journal editors, science teachers, and science students in the biological, social, and physical sciences. It will also be of interest to statisticians, data scientists, philosophers of science, and lay readers seeking an integrated modern view of the high-level operation of the study of relationships between variables in scientific research. About the author Donald B. Macnaughton has been a statistical consultant for more than 40 years. He has managed the statistical aspects of research in the fields of experimental psychology, zoology, drug dependence, nursing, education, business, geography, physical education, and inmate rehabilitation, among others. His consulting work supports and informs his main interest, which is to read, understand, and write about the vital role of the field of statistics in scientific research.

Download or read book Mixture Model Based Classification written by Paul D. McNicholas and published by CRC Press. This book was released on 2016-10-04 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature." (Douglas Steinley, University of Missouri) Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.

Download or read book Empirical Likelihood written by Art B. Owen and published by CRC Press. This book was released on 2001-05-18 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al

Download or read book Systems of Frequency Curves written by William Palin Elderton and published by Cambridge University Press. This book was released on 2009-01-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sir William Elderton's Frequency Curves and Correlation was first published in 1906 and subsequently three new editions were published. It has long enjoyed popularity as a source of clear descriptions of the practical use of Pearson and also Gram-Charlie systems of frequency curves. Professor Johnson has substantially revised this book. The material on correlations has been omitted; descriptions of further kinds of frequency curves have been added; the treatment of frequency surfaces has been recast and broadened; and the opportunity has been taken to amend the original text in the light of later research. The aim of this book remains essentially practical. There is no attempt at encyclopaedic coverage of all known systems of frequency curves and surfaces. It should be of especial value as a quick reference book (for statisticians and non-statisticians alike) for formulae and methods used in fitting frequency curves.

Download or read book M thodes et mod les en statistique non param trique written by Philippe Capéraà and published by Presses Université Laval. This book was released on 1988 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Practical Hydrology written by Jack D. Keen and published by Land Surveyor's Workshops. This book was released on 1995-01-01 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistique non Parametrique Asymptotique written by J.P. Raoult and published by Lecture Notes in Mathematics. This book was released on 1980-09 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Approches non param triques en r gression written by Jean-Jacques Droesbeke and published by Editions TECHNIP. This book was released on 2011 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cet ouvrage, consacré aux approches non paramétriques et semi-paramétriques en régression, propose au lecteur une exploration, une synthèse et une analyse des techniques d’estimation qui se sont récemment imposées quand on refuse de considérer que l’ensemble des fonctions de régression possibles est nécessairement « paramétré », ce qui élargit « infiniment » le nombre de fonctions possibles. Les résultats présentés ici constituent une synthèse d’un pan très important de l’ensemble des développements de la statistique théorique depuis une vingtaine d’années, dans un domaine qui fait l’objet de publications scientifiques régulières. L’ouvrage a pour objectif de mettre ces approches « non standard » à la portée d’un public de chercheurs en statistique appliquée et de responsables d’études en entreprise qui ne les utilisent pas encore. Il présente en outre une synthèse des méthodes d’estimation « non paramétrique » d’une régression : méthode du noyau, méthode des polynômes locaux, méthodes des fonctions orthogonales, méthodes d’ondelettes, fonctions splines. Dans ce cadre purement non paramétrique, des applications sont plus particulièrement détaillées : donnés censurées, séries temporelles, problèmes de discrimination. L’ouvrage se penche aussi sur la notion de « fléau de la dimension », montrant l’intérêt de l’étude de modèles semi-paramétriques plus récemment étudiés (modèles partiellement linéaires, modèles à directions révélatrices). Quelques domaines sont également explorés : adaptation aux données fonctionnelles et aux données spatiales, par exemple. Cet ouvrage est le fruit de la collaboration entre spécialistes réputés réunis à l’occasion des 12e Journées d’Etude en Statistique organisées par la SFdS au Centre International de Rencontres mathématiques de Luminy. Table des matières : 1. Les premiers pas de la régression. 2. Les estimateurs à noyaux. 3. Fonctions orthogonales. 4. Noyaux auto-reproduisants à base d’ondelettes. 5. Fonctions splines. 6. Le fléau de la dimension et ses parades. 7. Les modèles de régression à directions révélatrices. 8. Données censurées. 9. Prédiction non paramétrique. 10. Données spatiales. 11. Données fonctionnelles. 12. Quantiles de régression : applications à la construction de courbes. 13. La modélisation des courbes de croissance. 14. Modèles à direction révélatrice unique : application en économie.

Download or read book La r gression non lin aire m thodes et applications en biologie written by Sylvie Huet and published by Editions Quae. This book was released on 1992 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: L'ouvrage présente les méthodes de l'analyse statistique des modèles de régression non-linéaire et les illustre au moyen de quelques exemples empruntés à divers domaines de la biologie et de l'agronomie. Il s'adresse à des statisticiens, des utilisateurs avertis de la statistique ou à des étudiants de second et troisième cycle intéressés par ces méthodes.

Download or read book Introduction l estimation non param trique written by Alexandre B. Tsybakov and published by Springer Science & Business Media. This book was released on 2003-09-05 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: La théorie de l'estimation non-paramétrique s'est développée considérablement ces deux dernières décennies, en se fixant pour objectif quelques thèmes principaux, en particulier, l'étude de l'optimalité des estimateurs et l'estimation adaptative. Ces deux thèmes occupent la place centrale dans le livre. Il s'agit de présenter, pour quelques modèles et exemples simples, les idées principales de l'estimation non-paramétrique. Quelques sujets abordés sont: les méthodes de noyaux, de projection et de polynômes locaux, vitesses optimales de convergence, le théorème de Pinsker, les inégalités d'oracle, l'adaptation au sens minimax. Un chapitre est consacré à l'exposition détaillée des différentes techniques de minoration du risque minimax.