نتایج جستجو برای: shrinkage curve
تعداد نتایج: 141306 فیلتر نتایج به سال:
‎The problem of shrinkage testimation (test-estimation) for the Rayleigh scale‎ ‎parameter θ based on censored samples under the reflected‎ ‎gamma loss function is considered‎. We obtain the minimum risk‎ ‎estimator among a subclass and compute its risk‎. ‎A shrinkage‎ ‎testimator based on acceptance or rejection of a null hypothesis&lr...
the volumetric changes in the coal matrix (coal shrinkage), permeability under various gas environment conditions as well as perographical properties were studied in the laboratory. the shrinkage and permeability of coal were examined with respect to changing gas type and confining pressures. the shrinkage tests were carried out in high-pressure bombs while the permeability study was conducted ...
In this paper, the effects of fly ash and rice husk on drying shrinkage ceramsite concrete were studied by testing amount corresponding compressive strength at different ages, according to mechanical properties, correlation between strain was further explored. The research shows that can be effectively reduced adding 30% 15% ash, with increase content, also increases gradually. Through fitting ...
The loss of water from hardened concrete (stored in unsaturated air) causes drying shrinkage. Shrinkage of hardened concrete is influenced by various factors in a similar manner to creep under drying conditions. High cementitious materials content, particularly fine particles will reduce bleeding, but increase long term drying shrinkage. (The time of sawing the joints for induced cracking is no...
Nonlinear diffusion filtering and wavelet shrinkage are two methods that serve the same purpose, namely discontinuity-preserving denoising. In this chapter we give a survey on relations between both paradigms when space-discrete or fully discrete versions of nonlinear diffusion filters are considered. For the case of space-discrete diffusion, we show equivalence between soft Haar wavelet shrink...
In many regression settings the unknown coefficients may have some known structure, for instance they be ordered in space or correspond to a vectorized matrix tensor. At same time, sparse, with nearly exactly equal zero. However, commonly used priors and corresponding penalties do not encourage simultaneously structured sparse estimates. this paper we develop shrinkage that generalize multivari...
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