compel
发表于 2025-3-23 12:53:04
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一再烦扰
发表于 2025-3-23 14:07:19
Spatial Point Patterns,sts in a breeding colony, of trees in a forest, and of weeds in a prairie are examples of biological patterns. A data set of this type is called a spatial point pattern, and the locations are referred to as events. Spatial patterns may exhibit complete spatial randomness (csr), aggregation, or regularity.
aggressor
发表于 2025-3-23 21:49:55
Goodness-of-Fit Tests,irnov test is generally preferred when the distribution is continuous and is described in this chapter. Like all data handling systems, they are applied best when the problems and limitations of their use are understood. We begin by focusing on the application of goodness-of-fit tests to discrete distributions.
洞穴
发表于 2025-3-24 00:39:34
Sequential Estimation,this chapter, we consider both fixed-sample size and sequential methods for estimation of population density for well-defined discrete sampling units. Subsequent chapters discuss alternate methods of density estimation as well as hypothesis testing.
贵族
发表于 2025-3-24 05:39:22
Probability Distributions,a random sample can be taken from the ecosystem of interest. This random sample may be used to draw inference about the shape of the population distribution or about characteristics of that distribution. Unfortunately, the population distribution is not the same under all circumstances. Various prob
过分自信
发表于 2025-3-24 09:35:59
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粗语
发表于 2025-3-24 13:57:06
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暗指
发表于 2025-3-24 15:18:04
Sequential Hypothesis Testing,meters), or (2) to test hypotheses concerning the parameters. Sequential estimation is used when the purpose of sampling is to obtain precise parameter estimates. Several sequential estimation procedures are discussed in Chapter 4. The focus of this chapter is sequential hypothesis testing. This app
Granular
发表于 2025-3-24 19:23:07
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牢骚
发表于 2025-3-25 00:28:48
Aggregation and Spatial Correlation,, and methods of determining the fit of a proposed distribution to the data. One of the models giving rise to the Poisson distribution assumes that each member of the species behaves independently of every other member of that species and that the probability that a species member is in a sampling u