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.
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.
This book of peer-reviewed short papers on methodological and applied statistics and demography is the first of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari...
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ISBN:
(数字)9783031643460
ISBN:
(纸本)9783031643453;9783031643484
This book of peer-reviewed short papers on methodological and applied statistics and demography is the first of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024. It features invited contributions presented in the Plenary and Specialized Sessions.
The volumes address a large number of topics and applications of current interest. The topics covered include, but are not limited to, statistical theory and methods, sampling theory, Bayesian statistics, statistical modeling, computational statistics, classification, data analysis, gender statistics and applied statistics. The applications reflect new analyses in a wide variety of fields, including demography, psychometrics, education, business, economics, finance, law, and other social sciences and humanities, epidemiology, the life and health sciences as well as the environmental and natural sciences and engineering. This variety also demonstrates the important role of statistical science in addressing the societal and environmental challenges of sustainable development.
One of the aims of the Italian Statistical Society (SIS) is to promote scientific activities for the development of statistical sciences. Its biennial international Scientific Meeting represents the Society’s largest event which brings together national and international researchers and professionals to exchange ideas and discuss recent advances and developments in theoretical and applied statistics.
In 2010, the 5th edition of the textbook, "statistics Applied to Clinical Studies", was published by Springer and since then has been widely distributed. The primary object of clinical trials of new drugs is...
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ISBN:
(数字)9783030058043
ISBN:
(纸本)9783030058036
In 2010, the 5th edition of the textbook, "statistics Applied to Clinical Studies", was published by Springer and since then has been widely distributed. The primary object of clinical trials of new drugs is to demonstrate efficacy rather than safety. However, a trial in humans which does not adequately address safety is unethical, while the assessment of safety variables is an important element of the trial.;The current edition was written for non-mathematicians, particularly medical and health professionals and students. It provides examples of modern analytic methods so far largely unused in safety analysis. All of the 14 chapters have two core characteristics, First, they are intended for current usage, and they are particularly concerned with that usage. Second, they try and tell what readers need to know in order to understand and apply the methods. For that purpose, step by step analyses of both hypothesized and real data examples are provided.
This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often u...
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ISBN:
(数字)9789811000775
ISBN:
(纸本)9789811000768
This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the introduction of the auto-regression term. Response levels in this model gradually move toward an asymptote or equilibrium which depends on covariates and random effects. The book provides relationships of the autoregressive linear mixed effects models with linear mixed effects models, marginal models, transition models, nonlinear mixed effects models, growth curves, differential equations, and state space representation. State space representation with a modified Kalman filter provides log likelihoods for maximum likelihood estimation, and this representation is suitable for unequally spaced longitudinal data. The extension to multivariate longitudinal data analysis is also provided. Topics in medical fields, such as response-dependent dose modifications, response-dependent dropouts, and randomized controlled trials are discussed. The text is written in plain terms understandable for researchers in other disciplines such as econometrics, sociology, and ecology for the progress of interdisciplinary research.
This book represents the refereed proceedings of the Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific computing which was held at Claremont Graduate University in 1998. An impo...
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ISBN:
(数字)9783642596575
ISBN:
(纸本)9783540661764
This book represents the refereed proceedings of the Third International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific computing which was held at Claremont Graduate University in 1998. An important feature are invited surveys of the state of the art in key areas such as multidimensional numerical integration, low-discrepancy point sets, random number generation, and applications of Monte Carlo and quasi-Monte Carlo methods. These proceedings include also carefully selected contributed papers on all aspects of Monte Carlo and quasi-Monte Carlo methods. The reader will be informed about current research in this very active area.
"Statistical Modeling, Analysis and Management of Fuzzy Data," or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is ...
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ISBN:
(数字)9783790818000
ISBN:
(纸本)9783790814408;9783790825015
"Statistical Modeling, Analysis and Management of Fuzzy Data," or SMFD for short, is an important contribution to a better understanding of a basic issue -an issue which has been controversial, and still is though to a lesser degree. In substance, the issue is: are fuzziness and randomness distinct or coextensive facets of uncertainty? Are the theories of fuzziness and random ness competitive or complementary? In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn, in the main, from probability theory, fuzzy set theory and data analysis com munities. First, a historical perspective. The almost simultaneous births -close to half a century ago-of statistically-based information theory and cybernetics were two major events which marked the beginning of the steep ascent of probability theory and statistics in visibility, influence and importance. I was a student when information theory and cybernetics were born, and what is etched in my memory are the fascinating lectures by Shannon and Wiener in which they sketched their visions of the coming era of machine intelligence and automation of reasoning and decision processes. What I heard in those lectures inspired one of my first papers (1950) "An Extension of Wiener's Theory of Prediction," and led to my life-long interest in probability theory and its applications to information processing, decision analysis and control.
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