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Author: Jean-Marie Monier
Publisher:
ISBN: 9782100040803
Category :
Languages : fr
Pages : 436
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Book Description
Author: Jean-Marie Monier
Publisher:
ISBN: 9782100040803
Category :
Languages : fr
Pages : 436
Get Book Here
Book Description
Author: Jean-Marie Monier
Publisher:
ISBN: 9782100049158
Category :
Languages : fr
Pages : 404
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Book Description
Cette nouvelle édition du cours de mathématiques de Jean-Marie Monier a été entièrement repensée, de manière à répondre très précisément aux aspirations les plus exigeantes des élèves des classes préparatoires : un format agrandi et une nouvelle mise en pages en deux couleurs en améliorent la convivialité et la lisibilité. Chaque chapitre s'ouvre par une introduction signalant les prérequis et dégageant les objectifs à atteindre. Une nouvelle rubrique, intitulée " Du cours aux exercices ", regroupe des conseils de méthodologie pour aider l'étudiant dans la résolution des exercices qui suivent. Des questions situées à la limite du programme sont traitées, en fin de chapitre, sous forme de compléments avec solutions détaillées. Enfin des notes en marge donnent des informations complémentaires au cours (rappels, schémas, conseils...), et des encadrés mettent en valeur les points les plus importants (théorèmes, définitions et propositions à retenir). L'objectif de ce cours de mathématiques est de devenir l'outil de travail familier, efficace et adapté des élèves des classes préparatoires, des étudiants du 1er cycle universitaire scientifique et des candidats aux concours externes et internes de recrutement de professeurs.
Author: Jean-Marie Monier
Publisher:
ISBN: 9782100029754
Category :
Languages : fr
Pages : 406
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Book Description
Author: George Casella
Publisher: CRC Press
ISBN: 1040024025
Category : Mathematics
Languages : en
Pages : 1746
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Book Description
This classic textbook builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inference Develops elements of statistical theory from first principles of probability Written in a lucid style accessible to anyone with some background in calculus Covers all key topics of a standard course in inference Hundreds of examples throughout to aid understanding Each chapter includes an extensive set of graduated exercises Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Author: Michael Bowen-Jones
Publisher: OUP Oxford
ISBN: 9780198392132
Category : Juvenile Nonfiction
Languages : en
Pages : 0
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Book Description
The most comprehensive match to the new 2014 Chemistry syllabus, this completely revised edition gives you unrivalled support for the new concept-based approach, the Nature of science. The only DP Chemistry resource that includes support directly from the IB, focused exam practice, TOK links and real-life applications drive achievement.
Author: Yung-Kuo Lim
Publisher: World Scientific
ISBN: 9789810231330
Category : Science
Languages : en
Pages : 766
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Book Description
The material for these volumes has been selected from 20 years of examination questions for graduate students at the University of California at Berkeley, Columbia University, University of Chicago, MIT, SUNY at Buffalo, Princeton University and the University of ...
Author: Ruey S. Tsay
Publisher: Wiley-Interscience
ISBN: 9780471415442
Category : Business & Economics
Languages : en
Pages : 472
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Book Description
Fundamental topics and new methods in time series analysis Analysis of Financial Time Series provides a comprehensive and systematic introduction to financial econometric models and their application to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: analysis and application of univariate financial time series; the return series of multiple assets; and Bayesian inference in finance methods. Timely topics and recent results include: Value at Risk (VaR) High-frequency financial data analysis Markov Chain Monte Carlo (MCMC) methods Derivative pricing using jump diffusion with closed-form formulas VaR calculation using extreme value theory based on a non-homogeneous two-dimensional Poisson process Multivariate volatility models with time-varying correlations Ideal as a fundamental introduction to time series for MBA students or as a reference for researchers and practitioners in business and finance, Analysis of Financial Time Series offers an in-depth and up-to-date account of these vital methods.
Author: Walther Kaufmann
Publisher:
ISBN:
Category :
Languages : en
Pages : 432
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Book Description
Author: Ruey S. Tsay
Publisher: John Wiley & Sons
ISBN: 1118017099
Category : Mathematics
Languages : en
Pages : 724
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Book Description
This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time series The return series of multiple assets Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus to R; and expanded empirical financial data sets. The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.
Author: Yung-kuo Lim
Publisher: World Scientific
ISBN: 9789810204396
Category : Science
Languages : en
Pages : 206
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Book Description
Geometrical optics (1001-1041) - Wave optics (2001-2089) - Quantum optics (3001-3030).
