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Science --- Mathematics. --- Statistical methods. --- Math --- Estadística matemàtica
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This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Econometrics --- Mathematical statistics --- Econometria --- Estadística matemàtica
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Epidemiology --- Social sciences --- Epidemiologia --- Estadística matemàtica --- Research. --- Methodology.
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Mathematical statistics. --- Estadística matemàtica --- Congressos --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods
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Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Estadística matemàtica
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Bioinformatics --- Bioinformatics. --- Bioinformàtica --- Biologia computacional --- Informàtica mèdica --- Estadística matemàtica --- Statistical methods.
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This is the first book to provide a comprehensive introduction to a new semiparametric causal discovery approach known as LiNGAM, with the fundamental background needed to understand it. It offers a general overview of the basics of the LiNGAM approach for causal discovery, estimation principles, and algorithms. This semiparametric approach is one of the most exciting new topics in the field of causal discovery. The new framework assumes parametric assumptions on the functional forms of structural equations but makes no assumption on the distributions of exogenous variables other than non-Gaussianity. It provides data-analysis tools capable of estimating a much wider class of causal relations even in the presence of hidden common causes. This feature is in contrast to conventional nonparametric approaches based on conditional independence of variables. This book is highly recommended to readers who seek an in-depth and up-to-date overview of this new causal discovery approach to advance the technique as well as to those who are interested in applying this approach to real-world problems. This LiNGAM approach should become a standard item in the toolbox of statisticians, machine learners, and practitioners who need to perform observational studies.
Statistical science --- Computer. Automation --- informatica --- statistiek --- statistisch onderzoek --- Mathematical statistics. --- Estadística matemàtica
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This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage.
Statistical science --- statistiek --- statistisch onderzoek --- Engineering --- Enginyeria --- Estadística matemática --- Statistical methods.
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Linear models (Statistics) --- Models, Linear (Statistics) --- Mathematical models --- Mathematical statistics --- Statistics --- Models lineals (Estadística) --- Estadística --- Estadística matemàtica --- Models matemàtics
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