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Titre : Business Statistics for Competitive Advantage with Excel 2013 : Basics, Model Building, Simulation and Cases Type de document : e-book Auteurs : Cynthia FRASER Mention d'édition : 3rd ed. Editeur : Springer Année de publication : 2013 Importance : 458 p. ISBN/ISSN/EAN : 978-1-4614-7381-7 Langues : Anglais (eng) Mots-clés : Management
DECISION ; STATISTIQUE MATHEMATIQUE ; STATISTIQUES ECONOMIQUES ; LOGICIELRésumé : This updated edition of the popular text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2013 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2013 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. The Third Edition features Monte Carlo simulation in three chapters, as a tool to illustrate the range of possible outcomes from decision makers' assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response. Nombre d'accès : 1 En ligne : https://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/n [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=577697 Econometric modelling with time series / Vance L MARTIN / Cambridge University Press (2013)
Titre : Econometric modelling with time series : specification, estimation and testing Type de document : Livre Auteurs : Vance L MARTIN (1955-....), Auteur ; David HARRIS, Auteur ; Stan HURN, Auteur Editeur : Cambridge University Press Année de publication : 2013 Collection : Themes in modern econometrics Importance : 887 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-0-521-19660-4 Langues : Anglais (eng) Mots-clés : Management
ECONOMETRIE ; STATISTIQUE MATHEMATIQUEIndex. décimale : 331.23 ECONOMETRIE Résumé : "Maximum likelihood estimation is a general method for estimating the parameters of econometric models from observed data. The principle of maximum likelihood plays a central role in the exposition of this book, since a number of estimators used in econometrics can be derived within this framework. Examples include ordinary least squares, generalized least squares and full-information maximum likelihood. In deriving the maximum likelihood estimator, a key concept is the joint probability density function (pdf) of the observed random variables, yt. Maximum likelihood estimation requires that the following conditions are satisfied. (1) The form of the joint pdf of yt is known. (2) The specification of the moments of the joint pdf are known. (3) The joint pdf can be evaluated for all values of the parameters, 9. Parts ONE and TWO of this book deal with models in which all these conditions are satisfied. Part THREE investigates models in which these conditions are not satisfied and considers four important cases. First, if the distribution of yt is misspecified, resulting in both conditions 1 and 2 being violated, estimation is by quasi-maximum likelihood (Chapter 9). Second, if condition 1 is not satisfied, a generalized method of moments estimator (Chapter 10) is required. Third, if condition 2 is not satisfied, estimation relies on nonparametric methods (Chapter 11). Fourth, if condition 3 is violated, simulation-based estimation methods are used (Chapter 12). 1.2 Motivating Examples To highlight the role of probability distributions in maximum likelihood estimation, this section emphasizes the link between observed sample data and 4 The Maximum Likelihood Principle the probability distribution from which they are drawn" Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=553753 Exemplaires (2)
Code-barres Cote Support Localisation Section Disponibilité 056522 330.01 MAR Livre Library Campus de Reims Salle de lecture Exclu du prêt J7027 331.23 MAR Livre Library Campus de Rouen Salle de lecture Exclu du prêt
Titre : Probability and Statistics Type de document : e-book Auteurs : Moris DEGROOT, Auteur ; Mark SCHERVISH, Auteur Année de publication : 2013 Importance : 284 p. ISBN/ISSN/EAN : 978-1-292-03767-7 Langues : Anglais (eng) Mots-clés : Management
STATISTIQUE MATHEMATIQUE ; ANALYSE INFORMATIQUERésumé : he revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Nombre d'accès : 3 En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535225 Calculs mathématiques, statistiques et financiers / Claude DUIGOU / Nantes : EDITIONS ENI (2012)
Titre : Calculs mathématiques, statistiques et financiers : Avec Excel 2010 Type de document : Livre Auteurs : Claude DUIGOU Editeur : Nantes : EDITIONS ENI Année de publication : 2012 Collection : Solutions Business Importance : 227 p. Présentation : ill. ISBN/ISSN/EAN : 978-2-7460-7721-8 Langues : Français (fre) Mots-clés : Management
LOGICIEL ; TABLEUR ; STATISTIQUE MATHEMATIQUE ; MATHEMATIQUES FINANCIERES ; ARITHMETIQUEIndex. décimale : 221.04 TABLEUR Résumé : Ce livre passe en revue les grandes catégories de calculs qu'il est possible d'effectuer avec un tableur comme Excel 2010. Il comprend 3 parties : la première partie présente des techniques de calculs arithmétiques simples, la deuxième partie présente les différentes catégories de fonctions proposées par Excel, la troisième traite d'outils complémentaires permettant d'étendre les possibilités d'Excel. Note de contenu : Index Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=111695 Exemplaires (4)
Code-barres Cote Support Localisation Section Disponibilité J2104 221.04 DUI Livre Library Campus de Rouen Salle de lecture Disponible J2106 221.04 DUI Livre Library Campus de Rouen Salle de lecture Disponible J2108 221.04 DUI Livre Library Campus de Rouen Salle de lecture Disponible J2110 221.04 DUI Livre Library Campus de Rouen Salle de lecture Exclu du prêt Discovering statistics using R / Andy FIELD / Los Angeles, [Calif.] ; : SAGE (2012)
Titre : Discovering statistics using R Type de document : Livre Auteurs : Andy FIELD, Auteur ; Jeremy MILES, Auteur ; Zoë FIELD, Auteur Editeur : Los Angeles, [Calif.] ; : SAGE Année de publication : 2012 Importance : xxxiv; 957 p. ISBN/ISSN/EAN : 978-1-4462-0045-2 Prix : 74 EUR Langues : Anglais (eng) Mots-clés : Management
LOGICIEL ; STATISTIQUE ; SCIENCES HUMAINES ET SOCIALES ; STATISTIQUE MATHEMATIQUE ; LANGAGE INFORMATIQUERésumé : Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.
The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.
Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=156485 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 048130 300.151/FIE Livre Library Campus de Reims Salle de lecture Disponible Entraînement Intensif au Tage 2 ® / Matthieu DUBOST / Paris : ELLIPSES (2012)PermalinkIntroduction to probability and statistics / Seymour LIPSCHUTZ / MCGRAW HILL (2012)PermalinkLectures on probability theory and mathematical statistics / Marco TABOGA / CREATESPACE INDEPENDENT PUBLISHING PLATFORM (2012)PermalinkSPSS for psychologists / Nicola BRACE / New York : PALGRAVE MACMILLAN (2012)PermalinkVol. 1. Statistics of random processes / Robert S. LIPTSER / Mannheim : SPRINGER (2010)PermalinkVol. 2. Statistics of random processes / Robert S. LIPTSER / Mannheim : SPRINGER (2010)PermalinkStatistical Models / David A. FREEDMAN / Cambridge : CAMBRIDGE UNIVERSITY PRESS (2009)PermalinkAn introduction to copulas / Roger B. NELSEN / New York, NY : SPRINGER (2006)PermalinkPermalinkFinite mixture and Markov switching models / Sylvia FRÜHWIRTH-SCHNATTER / New York, NY : SPRINGER (2006)Permalink
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