Unbiased Systematic Sampling Plans for the Line Intercept Method
نویسندگان
چکیده
منابع مشابه
Point Intercept and Line Intercept Methods for Aquatic Plant Management
The use of quantitative methods for aquatic plants has not become as standardized as other components in the aquatic ecosystem, such as biotic (e.g., fish) or physical components (e.g., water chemistry) (APHA 1995, Lind 1979, Wetzel and Likens 1991). Even when considering aquatic biomass sampling, which is a widely accepted means of quantifying aquatic plant communities, there is considerable d...
متن کاملAn Unbiased Estimator of the Variance of Simple Random Sampling Using Mixed Random-Systematic Sampling
Systematic sampling is a commonly used technique due to its simplicity and ease of implementation. The drawback of this simplicity is that it is not possible to estimate the design variance without bias. There are several ways to circumvent this problem. One method is to suppose that the variable of interest has a random order in the population, so the sample variance of simple random sampling ...
متن کاملSampling plans for fitting the psychometric function.
Research on estimation of a psychometric function psi has usually focused on comparing alternative algorithms to apply to the data, rarely addressing how best to gather the data themselves (i.e., what sampling plan best deploys the affordable number of trials). Simulation methods were used here to assess the performance of several sampling plans in yes-no and forced-choice tasks, including the ...
متن کاملPropositions for Confidence Interval in Systematic Sampling on Real Line
Systematic sampling on real line (R) when using the different probes is very attractive method within which the biomedical imaging is consulted by a surgery, etc. This study is an extension of [16], and an exact calculation method is proposed for the calculation of constant λq of confidence interval for the systematic sampling. If the smoothness constant q of measurement function (MF) is estima...
متن کاملUnbiased sampling of network ensembles
Sampling random graphs with given properties is a key step in the analysis of networks, as random ensembles represent basic null models required to identify patterns such as communities and motifs. A key requirement is that the sampling process is unbiased and efficient. The main approaches are microcanonical, i.e. they sample graphs that exactly match the enforced constraints. Unfortunately, w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Range Management
سال: 1983
ISSN: 0022-409X
DOI: 10.2307/3897941