In methodisch leicht fasslicher Weise werden Begriffe und Methoden der beurteilenden Statistik vorgestellt. Dabei wird gezeigt, dass die grundlegenden Verfahren der beurteilenden Statistik ebenfalls leicht mit Excel u...
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ISBN:
(数字)9783835191112
In methodisch leicht fasslicher Weise werden Begriffe und Methoden der beurteilenden Statistik vorgestellt. Dabei wird gezeigt, dass die grundlegenden Verfahren der beurteilenden Statistik ebenfalls leicht mit Excel umsetzbar sind - ob es sich nun um die wichtigsten Parametertests, um Anpassungstests oder um einfache Varianzanalysen handelt.
Angewandte Datenanalyse, Bayes´sche Statistik und moderne Simulationsmethoden mit dem Computer helfen, nicht direkt messbare Grössen zu bestimmen und Prognosen zu zukünftigen Werten von unsicheren Gr&#...
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ISBN:
(数字)9783662433942
Angewandte Datenanalyse, Bayes´sche Statistik und moderne Simulationsmethoden mit dem Computer helfen, nicht direkt messbare Grössen zu bestimmen und Prognosen zu zukünftigen Werten von unsicheren Grössen zu berechnen. Wie dabei vorgegangen werden kann, von der systematischen Sammlung von Daten, von der Frage wie Unsicherheit mit Wahrscheinlichkeiten quantifiziert werden kann, bis hin zu Regressionsmodellen, spannt das Buch den Bogen. Durch seinen systematischen Aufbau mit zahlreichen Beispielen aus der Praxis und seine in vielen Kursen erprobte Didaktik ist das Buch ideal für Studierende in den angewandten Wissenschaften wie Ingenieur-, Natur- und Wirtschaftswissenschaften geeignet.
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is ...
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ISBN:
(数字)9788132223405
ISBN:
(纸本)9788132223399
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data that can be downloaded from the internet, and which is also available in different R packages. With some treatment of basic econometrics, the book discusses quantitative economics broadly and simply, looking at models in the light of data. Students of economics or economists keen to learn how to use R would find this book very useful.
The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test procedures. The most desirable property...
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ISBN:
(数字)9789811590030
ISBN:
(纸本)9789811590023;9789811590054
The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properties of estimators and some test procedures. The most desirable property of consistency of an estimator and its large sample distribution, with suitable normalization, are discussed, the focus being on the consistent and asymptotically normal (CAN) estimators. It is shown that for the probability models belonging to an exponential family and a Cramer family, the maximum likelihood estimators of the indexing parameters are CAN. The book describes some large sample test procedures, in particular, the most frequently used likelihood ratio test procedure. Various applications of the likelihood ratio test procedure are addressed, when the underlying probability model is a multinomial distribution. These include tests for the goodness of fit and tests for contingency tables. The book also discusses a score test and Wald’s test, their relationship with the likelihood ratio test and Karl Pearson’s chi-square test. An important finding is that, while testing any hypothesis about the parameters of a multinomial distribution, a score test statistic and Karl Pearson’s chi-square test statistic are identical.;The concepts from asymptotic inference are crucial in modern statistics, but are difficult to grasp in view of their abstract nature. To overcome this difficulty, keeping up with the recent trend of using R software for statistical computations, the book uses it extensively, for illustrating the concepts, verifying the properties of estimators andcarrying out various test procedures. The last section of the chapters presents R codes to reveal and visually demonstrate the hidden aspects of different concepts and procedures. Augmenting the theory with R software is a novel and a unique feature of the book.
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriente...
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ISBN:
(数字)9783642244667
ISBN:
(纸本)9783642244650
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.
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