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Titlebook: Stage-Structured Populations; Sampling, analysis a Bryan F. J. Manly Book 1990 Bryan F. J. Manly 1990 biological.cluster.cotton.development

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发表于 2025-3-21 19:53:30 | 显示全部楼层 |阅读模式
书目名称Stage-Structured Populations
副标题Sampling, analysis a
编辑Bryan F. J. Manly
视频video
丛书名称Molecular Biology Intelligence Unit
图书封面Titlebook: Stage-Structured Populations; Sampling, analysis a Bryan F. J. Manly Book 1990 Bryan F. J. Manly 1990 biological.cluster.cotton.development
描述This book provides a review of methods for obtaining and analysing data from stage-structured biological populations. The topics covered are sam­ pling designs (Chapter 2), the estimation of parameters by maximum likelihood (Chapter 3), the analysis of sample counts of the numbers cif individuals in different stages at different times (Chapters 4 and 5), the analysis of data using Leslie matrix types of model (Chapter 6) and key factor analysis (Chapter 7). There is also some discussion of the approaches to modelling and estimation that have been used in five studies of particular populations (Chapter 8). There is a large literature on the modelling of biological populations, and a multitude of different approaches have been used in this area. The various approaches can be classified in different ways (Southwood, 1978, ch. 12), but for the purposes of this book it is convenient to think of the three categories mathematical, statistical and predictive modelling. Mathematical modelling is concerned largely with developing models that capture the most important qualitative features of population dynamics. In this case, the models that are developed do not have to be compared with data
出版日期Book 1990
关键词biological; cluster; cotton; development; dynamics; population; population dynamics; simulation; stability; s
版次1
doihttps://doi.org/10.1007/978-94-009-0843-7
isbn_softcover978-94-010-6866-6
isbn_ebook978-94-009-0843-7Series ISSN 1431-0414
issn_series 1431-0414
copyrightBryan F. J. Manly 1990
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发表于 2025-3-21 20:48:55 | 显示全部楼层
Bryan F. J. Manlywork will help advance the frontier of further developments of quantification theory. .Many numerical examples are included to clarify the details of quantification theory, with a focus on symmetry as its opera978-981-16-9172-0978-981-16-9170-6Series ISSN 2524-4027 Series E-ISSN 2524-4035
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Bryan F. J. Manlyeometric structure of the data. Therefore, his recommendation is “do not analyze the contingency table in its current format, but change it to a response-pattern table so that we can get access to more information than from the original contingency format.” Let us see what this means in this chapter
发表于 2025-3-22 19:04:29 | 显示全部楼层
Bryan F. J. Manlyeometric structure of the data. Therefore, his recommendation is “do not analyze the contingency table in its current format, but change it to a response-pattern table so that we can get access to more information than from the original contingency format.” Let us see what this means in this chapter
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Bryan F. J. Manlyeometric structure of the data. Therefore, his recommendation is “do not analyze the contingency table in its current format, but change it to a response-pattern table so that we can get access to more information than from the original contingency format.” Let us see what this means in this chapter
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