India has large resources of natural fibres such as Banana, Khus, Sisal, Korai grass,Talipot, Palm leaf, Coconut, Pineapple, Screwpine, Golden grass, Jute and Sabaiamong others. In the past, trade of the village folk depended on harvesting fibresgrown in their villages. Natural fibers have recently gaining attraction of researchersdue to their low cost eco-friendly and biodegradability characte...

The influences of relative humidity and ambient temperature on the transmission of influenza A viruses have recently been established under controlled laboratory conditions. The interplay of meteorological factors during an actual influenza epidemic is less clear, and research into the contribution of wind to epidemic spread is scarce. By applying geostatistics and survival analysis to data fro...

BACKGROUND In the context of ecological studies, the Bayesian hierarchical Poisson model is of prime interest when studying the association between environmental exposure and rare diseases. However, adding spatially structured extra-variability in the model fitted to the data when such extra-variability does not exist conditionally on the covariates included in the model (over-fitting) may bias...

Hydrological and climatic modeling of near-surface water energy fluxes is critically dependent on the availability soil hydraulic parameters. Key among these parameters characteristic curve (SWCC), a function relating content (θ) to matric potential (ψ). The direct measurement SWCC laborious, hence, reported values are spatially sparse usually have only small number data pairs (θ, ψ) per sample...

The problem of describing hourly data of ground ozone is considered. The complexity of high frequency environmental data dynamics often requires models covering covariates, multiple frequency periodicities, long memory, non linearity and heteroscedasticity. For these reasons we introduce a parametric model which includes seasonal fractionally integrated components, self exciting threshold autor...

In reality, failure data are often collected under diffract operational conditions (covariates), leading to heterogeneity among the data. Heterogeneity can be classified as observed and unobserved heterogeneity. Un-observed is effect of unknown, unrecorded, or missing covariates. most reliability studies, covariates neglected. This may lead inaccurate modeling, consequently, wrong operation mai...

In this research, an apparatus was designed and constructed in order to simulate the storage behavior of hand-woven carpet under different environmental conditions. Silk hand-woven carpet (“Gom”) with 115×75 cm dimensions and 102×97 knot per 10 cm was selected and then inserted into the packing simulator with two different laying configurations including flat and folded....

We study the asymptotic properties of bridge estimators in sparse, highdimensional, linear regression models when the number of covariates may increase to infinity with the sample size. We are particularly interested in the use of bridge estimators to distinguish between covariates whose coefficients are zero and covariates whose coefficients are nonzero. We show that under appropriate conditio...

Since the insulators of transmission lines are exposed to different environmental conditions, it is important task to study insulators performance under different conditions. In this paper, silicone rubber insulators performance under different environmental conditions including rainy, icy, salt and cement are proposed and exactly is studied. Electric fields (E-fields) and voltage distributions...

We study the asymptotic properties of bridge estimators in sparse, highdimensional, linear regression models when the number of covariates may increase to infinity with the sample size. We are particularly interested in the use of bridge estimators to distinguish between covariates whose coefficients are zero and covariates whose coefficients are nonzero. We show that under appropriate conditio...