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1.
˜The œCambridge dictionary of statistics by Everitt, Brian. Publication: Cambridge, UK | New York Cambridge University Press 2010 . ix, 468 pages 26 cm. Date: 2010 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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The lace expansion and its applications Ecole d'Eté de Probabilités de Saint-Flour XXXIV-2004 / by Slade, G. Publication: Berlin : Springer, 2006 . 1 online resource (xiii, 228 p.) : , Visionné le 17 novembre 2010. Date: 2006 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Asymptotic theory of quantum statistical inference : selected papers   Publication: [S.l.] World Scientific Pub Co Inc 2005 . 542 p. , Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has made remarkable progress since 1990. In particular, its asymptotic theory has been developed during this period. However, there has hitherto been no book covering this remarkable progress after 1990; the famous textbooks by Holevo and Helstrom deal only with research results in the earlier stage (1960s-1970s). This book presents the important and recent results of quantum statistical inference. It focuses on the asymptotic theory, which is one of the central issues of mathematical statistics and had not been investigated in quantum statistical inference until the early 1980s. It contains outstanding papers after Holevo's textbook, some of which are of great importance but are not available now. The reader is expected to have only elementary mathematical knowledge, and therefore much of the content will be accessible to graduate students as well as research workers in related fields. Introductions to quantum statistical inference have been specially written for the book. Asymptotic Theory of Quantum Statistical Inference: Selected Papers will give the reader a new insight into physics and statistical inference. 23 cm. Date: 2005 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),
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Characterization of Distributions by the Method of Intensively Monotone .. by Kakosyan,, A., Publication: New York : Springer 2008 . 1 online resource. Date: 2008 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Contiguity of probability measures some applications in statistics by Roussas,, George G. Publication: Cambridge Cambridge University Press 2008 . pages , Originally published: 1972. cm. Date: 2008 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Estimation in conditionally herteroscedastic time series models by Straumann,, Daniel. Publication: [S.l.] Springer 2004 . 250 p. , In his seminal 1982 paper, Robert F. Engle described a time series model with a time-varying volatility. Engle showed that this model, which he called ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. Nowadays ARCH has been replaced by more general and more sophisticated models, such as GARCH (generalized autoregressive heteroscedastic). This monograph concentrates on mathematical statistical problems associated with fitting conditionally heteroscedastic time series models to data. This includes the classical statistical issues of consistency and limiting distribution of estimators. Particular attention is addressed to (quasi) maximum likelihood estimation and misspecified models, along to phenomena due to heavy-tailed innovations. The used methods are based on techniques applied to the analysis of stochastic recurrence equations. Proofs and arguments are given wherever possible in full mathematical rigour. Moreover, the theory is illustrated by examples and simulation studies. 24 cm. Date: 2004 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Evolutionary statistical procedures an evolutionary computation approach to statistical procedures designs and applications by Baragona, Roberto. Publication: Berlin | Heidelberg Springer 2011 . 1 volume (XI-276 pages) , La 4e de couv. indique : "This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications." 24 cm. Date: 2011 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Evolutionary statistical procedures : an evolutionary computation approach to statistical procedures designs and applications / by Baragona,, Roberto. Publication: Heidelberg ; | New York : Springer, 2011 . 1 online resource (xi, 276 pages) , This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design of evolutionary algorithms and statistical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimators do not follow mathematically simple distributions is underway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood means of approximating the optimum value in a variety of settings. The proposed text seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (including both stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard statistical algorithms like Metropolis-Hastings) in a variety of applications. -- Date: 2011 Availability: No items available:

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Introduction to mathematical finance : discrete time models / by Pliska, S.R. Publication: [S.l.] : Blackwell Publishers, 1997 . 262 p. ; , Relié. 24 cm. Date: 1997 Availability: Items available: La bibliothèque des Sciences Juridiques, Economiques et de Gestion (1),

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Introduction to probability and statistics for engineers and scientists by Ross, Sheldon M. Publication: [S.l.] Academic Press 2009 . 664 p. , This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage. As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. Also Available: Student Solutions Manual for Introduction to Probability and Statistics for Engineers and Scientists, 4e ISBN:9780123705280 New to the 4th Edition: - New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests - 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science - New Real data examples that use significant real data from actual studies across life science, engineering, computing and business - New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material. 24 cm. Date: 2009 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Introduction to statistical pattern recognition / by Fukunaga,, Keinosuke. Publication: Boston : Academic Press, 1990 . xiii, 591 pages : 24 cm. Date: 1990 Availability: No items available:

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Lectures on probability theory and statistics Ecole d'Eté de Probabilités de Saint-Flour XXXII-2002 by Tsirelson, Boris. Publication: Berlin | New York Springer-Verlag 2004 . 200 pages 24 cm. Date: 2004 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Mathematical statistics with applications by Ramachandran,, K.M. Publication: [S.l.] Academic Press 2009 . 848 p. , Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. * Step-by-step procedure to solve real problems, making the topic more accessible * Exercises blend theory and modern applications * Practical, real-world chapter projects * Provides an optional section in each chapter on using Minitab, SPSS and SAS commands * Student Solutions Manual, Instructors Manual and data disk available. 23 cm. Date: 2009 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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Missing data and small-area estimation modern analytical equipment for the survey statistician by Longford, Nicholas T. Publication: [S.l.] Springer 2005 . 357 p. , This book develops methods for two key problems in the analysis of large-scale surveys: dealing with incomplete data and making inferences about sparsely represented subdomains. The presentation is committed to two particular methods, multiple imputation for missing data and multivariate composition for small-area estimation. The methods are presented as developments of established approaches by attending to their deficiencies. Thus the change to more efficient methods can be gradual, sensitive to the management priorities in large research organisations and multidisciplinary teams and to other reasons for inertia. The typical setting of each problem is addressed first, and then the constituency of the applications is widened to reinforce the view that the general method is essential for modern survey analysis. The general tone of the book is not "from theory to practice," but "from current practice to better practice." The third part of the book, a single chapter, presents a method for efficient estimation under model uncertainty. It is inspired by the solution for small-area estimation and is an example of "from good practice to better theory." A strength of the presentation is chapters of case studies, one for each problem. Whenever possible, turning to examples and illustrations is preferred to the theoretical argument. The book is suitable for graduate students and researchers who are acquainted with the fundamentals of sampling theory and have a good grounding in statistical computing, or in conjunction with an intensive period of learning and establishing one's own a modern computing and graphical environment that would serve the reader for most of the analytical work in the future. While some analysts might regard data imperfections and deficiencies, such as nonresponse and limited sample size, as someone else's failure that bars effective and valid analysis, this book presents them as respectable analytical and inferential challenges, opportunities to harness the computing power into service of high-quality socially relevant statistics. Overriding in this approach is the general principle—to do the best, for the consumer of statistical information, that can be done with what is available. The reputation that government statistics is a rigid procedure-based and operation-centred activity, distant from the mainstream of statistical theory and practice, is refuted most resolutely. After leaving De Montfort University in 2004 where he was a Senior Research Fellow in Statistics, Nick Longford founded the statistical research and consulting company SNTL in Leicester, England. He was awarded the first Campion Fellowship (2000–02) for methodological research in United Kingdom government statistics. He has served as Associate Editor of the Journal of the Royal Statistical Society, Series A, and the Journal of Educational and Behavioral Statistics and as an Editor of the Journal of Multivariate Analysis. He is a member of the Editorial Board of the British Journal of Mathematical and Statistical Psychology. He is the author of two other monographs, Random Coefficient Models (Oxford University Press, 1993) and Models for Uncertainty in Educational Testing (Springer-Verlag, 1995). From the reviews: "Ultimately, this book serves as an excellent reference source to guide and improve statistical practice in survey settings exhibiting these problems." Psychometrika "I am convinced this book will be useful to practitioners...[and a] valuable resource for future research in this field." Jan Kordos in Statistics in Transition, Vol. 7, No. 5, June 2006 "To sum up, I think this is an excellent book and it thoroughly covers methods to deal with incomplete data problems and small-area estimation. It is a useful and suitable book for survey statisticians, as well as for researchers and graduate students interested on sampling designs." Ramon Cleries Soler in Statistics and Operations Research Transactions, Vol. 30, No. 1, January-June 2006. 25 cm. Date: 2005 Availability: Items available: La bibliothèque des lettres et sciences humaines et sociales (1),

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Multivariate statistical methods by Morrison, Donald F. Publication: Belmont Thomson Brooks/Cole 2005 . 469 p. , MULTIVARIATE STATISTICAL METHODS fills a void in the marketplace, striking a crucial balance between the technical information and real-world applications of multivariate statistics. Donald Morrison has taught this course at the Wharton School for 33 years, and he has integrated his demonstrably successful teaching style into this textbook. 24 cm. Date: 2005 Availability: Items available: La bibliothèque des Sciences Exactes et Naturelles (1),

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