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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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Genètica --- Estadística matemàtica --- R (Llenguatge de programació)
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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. --- Enginyeria. --- Estadística matemàtica.
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Epidemiology --- Social sciences --- Epidemiologia --- Estadística matemàtica --- Research. --- Methodology.
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This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands the issues behind each statistical method. This book is intended for applicants whose interests include some understanding of the procedures they are using, while they do not have to read the technical derivations. At the same time, many researchers find most theories and techniques necessary for the development of various statistical methods, without chasing after one set of research papers, after another. Even though the book emphasizes the theory, it provides accessible numerical tools for data analysis. Readers with strength in developing statistical software, may find it useful.
Statistics. --- Statistical Theory and Methods. --- Mathematical statistics. --- Estadística matemàtica
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Pattern recognition systems --- Mathematical statistics --- Data processing --- Estadística matemàtica --- Processament de dades
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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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