Testing Hypotheses in Nonparametric Models of Production
نویسندگان
چکیده
منابع مشابه
Testing Hypotheses in Universal Models
A linear regression model, when a design matrix has not full column rank and a covariance matrix is singular, is considered. The problem of testing hypotheses on mean value parameters is studied. Conditions when a hypothesis can be tested or when need not be tested are given. Explicit forms of test statistics based on residual sums of squares are presented.
متن کاملTesting fuzzy hypotheses with vague data
The problem of testing fuzzy hypotheses in the presence of vague data is considered. A new method based on the necessity index of strict dominance (NSD) is suggested. An example hoe to apply the proposed test in statistical quality control is shown.
متن کاملModels for Quantitative Testing of Edge Hypotheses
Some thoughts on the calculation of quantitative probabilities of edge detection, for investigation during the 3D object recognition and localisation project. See also Tina memo 2006-007.
متن کاملDimension reduction in nonparametric models of production
It is well-known that the convergence rates of nonparametric efficiency estimators (e.g., free-disposal hull and data envelopment analysis estimators) become slower with increasing numbers of input and output quantities (i.e., dimensionality). Dimension reduction is often utilized in non-parametric density and regression where similar problems occur, but has been used in only a few instances in...
متن کاملTesting in Nonparametric Accelerated Life Time Models
where T0 is the so-called baseline life time and T is the observable life time. We will assume that T is an absolute continuous random variable (r.v.) and that the covariate X does not depend on the time. For simplicity of presentation let X be one-dimensional. For statistical application a suitable choice of the acceleration function is important and the problem of testing ψ arises. A survey o...
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 Business & Economic Statistics
سال: 2016
ISSN: 0735-0015,1537-2707
DOI: 10.1080/07350015.2015.1049747