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Titlebook: Computational and Methodological Statistics and Biostatistics; Contemporary Essays Andri?tte Bekker,(Din) Ding-Geng Chen,Johannes T. Book

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書目名稱Computational and Methodological Statistics and Biostatistics
副標(biāo)題Contemporary Essays
編輯Andri?tte Bekker,(Din) Ding-Geng Chen,Johannes T.
視頻videohttp://file.papertrans.cn/234/233253/233253.mp4
概述Features contributions authored by leading authorities in statistics and biostatistics.Intertwines academic and practical thought avenues.Includes code for implementation and replication, therefore en
叢書名稱Emerging Topics in Statistics and Biostatistics
圖書封面Titlebook: Computational and Methodological Statistics and Biostatistics; Contemporary Essays Andri?tte Bekker,(Din) Ding-Geng Chen,Johannes T. Book
描述In the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computational advancement, which has presented end users as well as researchers with the necessary opportunities to handle data and implement modelling solutions for statistical purposes..Showcasing the interplay among a variety of disciplines, this book offers pioneering theoretical and applied solutions to practice-oriented problems. As a carefully curated collection of prominent international thought leaders, it fosters collaboration between statisticians and biostatisticians and provides an array of thought processes and tools to its readers. The book thereby creates an understanding and appreciation of recent developments as well as an implementation of these contributions within the broader framework of both academia andindustry..Computational and Methodological Statistics and Biostatistics is composed of three main themes:.?? Recent developments in theory and applications of statistical distributions;.?? Recent developments in supervised and unsu
出版日期Book 2020
關(guān)鍵詞Bayesian adaptive designs; Bayesian statistics; censoring; circular distributions; elliptical; extreme va
版次1
doihttps://doi.org/10.1007/978-3-030-42196-0
isbn_softcover978-3-030-42198-4
isbn_ebook978-3-030-42196-0Series ISSN 2524-7735 Series E-ISSN 2524-7743
issn_series 2524-7735
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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The Brain on Stress: The Good and the Bad, regression analysis when modified ERSS, MERSS, and DERSS are used compared with using the simple random sample (SRS). For illustration purposes of the procedures developed, we use a real dataset from 2011/12 National Survey of Children’s Health (NSCH).
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Weighted Condition Number Distributions Emanating from Complex Noncentral Wishart Type Matricese normal, as well as for the previously unstudied complex noncentral matrix variate .- and slash case. This dual setting is of interest stemming from a practical consideration; viz. dual-branch systems which are equipped with two transmit- and receive antennas. A numerical- and comparative study supports the analytical expressions.
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Synaptic Plasticity in the Hippocampus censoring, because the optimal allocations are depending on the model parameters, the sensitivity of the optimal allocations due to mis-specification of the model parameters is studied. A numerical example is used to illustrate the methodologies developed in this paper.
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2524-7735 cludes code for implementation and replication, therefore enIn the statistical domain, certain topics have received considerable attention during the last decade or so, necessitated by the growth and evolution of data and theoretical challenges. This growth has invariably been accompanied by computa
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