State-trace analysis is a non-parametric method that can identify the number of latent variables (dimensionality) required to explain the effect of two or more experimental factors on performance. Heathcote, Brown, and Prince (submitted) recently proposed a Bayes Factor method for estimating the evidence favoring one or more than one latent variable in a state-trace experiment, known as Bayesia...

Extended Abstract. It is a traditional way in biological, sociological, agricultural and geological studies to partition a geographical area into quadrats and then take a sample of them by a particular sampling design. We study the relevant characteristic of quadrats to estimate a parameter of the population. We suppose that the variable of interest has a positive spatial autocorrelation. Sampl...

When explaining the dynamics of individual trees, the incorporation of size and distance of neighboring trees into a model can improve the prediction of growth and mortality. Several methods have been proposed to define the number of competing trees based on variable zone radii and the principles of angle count sampling. The task of measuring position-dependent competition indices appears to be...

Statistically constrained economic design for profiles usually refers to the selection of some parameters such as the sample size, sampling interval, smoothing constant, and control limit for minimizing the total implementation cost while the designed profiles demonstrate a proper statistical performance. In this paper, the Lorenzen-Vance function is first used to model the implementation...

Soil microorganisms mediate belowand aboveground processes, but it is dif®cult to monitor such organisms because of the inherent cryptic nature of the soil. Traditional `blind' sampling methods yield high sample variance. Coupled with low sample size, this results in low statistical power and thus high type II error rates. Consequently, when null hypotheses are rejected they are dif®cult to int...

Assessing the species diversity of an urban forest is important for understanding its structure and functions, but the result can be affected by sampling methods, times, and delimitations of the study area. In this study, we examined the influence of different ways to delimit boundaries of urban areas on the assessment of species diversity of urban forests through a case study conducted in Haik...

BACKGROUND To assess the quality of supplementary immunization activities (SIAs), the Global Polio Eradication Initiative (GPEI) has used cluster lot quality assurance sampling (C-LQAS) methods since 2009. However, since the inception of C-LQAS, questions have been raised about the optimal balance between operational feasibility and precision of classification of lots to identify areas with low...

For purposes of sampling and estimation, Forest Inventory and Analysis (FIA) subdivides the total land area of the United States into mutually exclusive populations and subpopulations. Populations are usually defined by county boundaries or by public ownerships that may or may not cross county boundaries (e.g., national forests). In cases where the sample size for individual counties is insuffi...

In this paper, a reliability acceptance plan is developed assuming that the lifetime of a product follows the generalized Rayleigh distribution with known value of the shape parameter. We obtain test termination ratio by considering the producer’s risk for given values of the sample size and the acceptance number. A comparison of proposed sampling plan has been made with an existing acceptance ...

BACKGROUND AND OBJECTIVE The studies measured Out-of-Pocket Expenditure (OOPE) for hospital births previously suffer from serious data limitations. To overcome such limitations, we designed a hospital-based study for measuring the levels and factors of OOPE on maternity care for hospital births by its detailed components. METHODS Data were collected from women for non-complicated deliveries 2...