Statistical Proof: Mathematical Statistics, Data, Statistical Independence, Normal Distribution, Nonparametric Analysis - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Data analysis and statistics — When mathematical statistics is used to provide a mathematical proof of a proposition regarding the probability of data under specified assumptions and hypotheses, this is a “statistical proofâ€. Examples of the assumptions are that the data are independent and have an underlying distribution that is a normal distribution, or the assumptions of a nonparametric analysis. In a typical statistical test, the ratio of probabilities of an event occurring under each of two hypotheses (the likelihood ratio) is evaluated, and if the likelihood ratio is sufficiently large", it is asserted that there is “statistical†proof of one hypothesis. Since the assumptions of mathematical statistics themselves require further justification, and the justification is often uncertain or merely “probable†in an un-quantified way, the resulting concluded probability statement is no longer certain, as in the medical, natural, and social sciences. In that case, the term "statistical proof" is still sometimes used to refer to the outcome of a statistical test."
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Reseña del editor
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Data analysis and statistics — When mathematical statistics is used to provide a mathematical proof of a proposition regarding the probability of data under specified assumptions and hypotheses, this is a “statistical proofâ€. Examples of the assumptions are that the data are independent and have an underlying distribution that is a normal distribution, or the assumptions of a nonparametric analysis. In a typical statistical test, the ratio of probabilities of an event occurring under each of two hypotheses (the likelihood ratio) is evaluated, and if the likelihood ratio is sufficiently large", it is asserted that there is “statistical†proof of one hypothesis. Since the assumptions of mathematical statistics themselves require further justification, and the justification is often uncertain or merely “probable†in an un-quantified way, the resulting concluded probability statement is no longer certain, as in the medical, natural, and social sciences. In that case, the term "statistical proof" is still sometimes used to refer to the outcome of a statistical test."
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Statistical Proof
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! Data analysis and statistics When mathematical statistics is used to provide a mathematical proof of a proposition regarding the probability of data under specified assumptions and hypotheses, this is a statistical proof . Examples of the assumptions are that the data are independent and have an underlying distribution that is a normal distribution, or the assumptions of a nonparametric analysis. In a typical statistical test, the ratio of probabilities of an event occurring under each of two hypotheses (the likelihood ratio) is evaluated, and if the likelihood ratio is 'sufficiently large', it is asserted that there is statistical proof of one hypothesis. Since the assumptions of mathematical statistics themselves require further justification, and the justification is often uncertain or merely probable in an un-quantified way, the resulting concluded probability statement is no longer certain, as in the medical, natural, and social sciences. In that case, the term 'statistical proof' is still sometimes used to refer to the outcome of a statistical test. 96 pp. Englisch. Seller Inventory # 9786130494735
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Statistical Proof : Mathematical Statistics, Data, Statistical Independence, Normal Distribution, Nonparametric Analysis
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Data analysis and statistics When mathematical statistics is used to provide a mathematical proof of a proposition regarding the probability of data under specified assumptions and hypotheses, this is a statistical proof . Examples of the assumptions are that the data are independent and have an underlying distribution that is a normal distribution, or the assumptions of a nonparametric analysis. In a typical statistical test, the ratio of probabilities of an event occurring under each of two hypotheses (the likelihood ratio) is evaluated, and if the likelihood ratio is 'sufficiently large', it is asserted that there is statistical proof of one hypothesis. Since the assumptions of mathematical statistics themselves require further justification, and the justification is often uncertain or merely probable in an un-quantified way, the resulting concluded probability statement is no longer certain, as in the medical, natural, and social sciences. In that case, the term 'statistical proof' is still sometimes used to refer to the outcome of a statistical test. Seller Inventory # 9786130494735
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Statistical Proof | Mathematical Statistics, Data, Statistical Independence, Normal Distribution, Nonparametric Analysis
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Taschenbuch. Condition: Neu. Statistical Proof | Mathematical Statistics, Data, Statistical Independence, Normal Distribution, Nonparametric Analysis | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130494735 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 113225037
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Statistical Proof
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Seller Inventory # 9786130494735