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Remote Sensing And Image Interpretation

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Textbook Of Work Physiology Physiological Bases Of Exercise

American Society for Testing and Materials

In this article, the two parameter Weibull probability distribution is embedded in a larger family obtained by introducing an additional parameter. We generalize the two parameter Weibull distribution using the quadratic rank transmutation map studied by Shaw et al. [ 9 ] to develop a transmuted Weibull distribution. We provide a comprehensive description of the mathematical properties of the subject distribution along with its reliability behavior. The usefulness of the transmuted Weibull distribution for modeling reliability data is illustrated using real data.

/pdf/transmuted-weibull-distribution-a-generalization-of-2z50zwccph.pdf

Transmuted Weibull Distribution: A Generalization of theWeibull Probability Distribution

Modifications of the Weibull distribution: A review

Recently, Sarhan and Zaindin (2008) introduced a generalization ofthe Weibull distribution and named it as modiﬁed Weibull distribution.In this paper, we deal with the problem of estimating the parametersof this distribution based on Type II censored data. The maximumlikelihood and least square techniques are used. For illustrative purpose,the results obtained are applied on sets of real data. Also, simulation isused to study the properties of the estimators derived. Keywords: Maximum likelihood, least square, linear failure rate, Rayleigh,exponential distribution 1 Introduction The exponential, Rayleigh, linear failure rate and Weibull distributions arethe most commonly used distributions in reliability and life testing, Lawless(2003). These distributions have several desirable properties and nice physicalinterpretations. Unfortunately the exponential distribution only has constantfailure rate and the Rayleigh distribution has increasing failure rate. The lin-ear failure rate distribution generalizes both these distributions which mayhave non-increasing hazard function also. Also, the Weibull distribution gen-eralizes exponential and Rayleigh distributions. It may have an increasing or

Parameters Estimation of the Modified Weibull Distribution

Knowledge of Land Use and Land Cover (LULC) changes is important for many planning and management activities. It is thought to be an essential elemen t for modeling and understanding the major land for ms, especially in arid regions like Saudi Arabia. This study investigates the LULC changes in Dirab region of Saudi Arabia between 1980 and 2010, using Landsat TM/ETM+images. After the geometric correction and radiometric normalization, multi-temporal image dat a sets were spectrally enhanced separately using Principal Component Analysis (PCA) and Tasseled Cap Transformation (TCT). Each image was then separately subjected to supervised classification a nd processed to identify and quantify LULC changes (vegetation, barren land and built-up area). Post C lassification Comparison (PCC) method was adopted for LULC change detection. Change trajectories (“fr om-to” classes) and accuracy assessments were made by comparing the detected land use change layers wi th medium/high resolution images of Google Earth data base. The TCT enhanced procedure gave better identification of the changed areas than PCA based method. The overall accuracy of PCA based change detection was 64.58, 62.68 and 62.12% for 19801990, 1990-2000 and 2000-2010 images, respectively. However, the TCT based change detection resulted in higher accuracy of 77.78, 75.62 and 77. 92% for 1980-1990, 1990-2000 and 2009-2010, respectively. The results suggested that significan t land use changes occurred in Dirab area from 1980 to 2010, which may be related to rapid development of agriculture between 1980 and 2000 and economic development and urban expansion between 2000 and 2010. It was further noted that most changes occurred in cropland areas due to urban encroachment.

Detection of land use and land cover changes in dirab region of saudi arabia using remotely sensed imageries

Statistical inference of an exponential distribution model, using progressively Type-II censored data with random scheme, is discussed in this paper. Maximum likelihood and Bayes procedures are used to derive both point and interval estimates of the parameters included in the model. Monte Carlo simulation method is used to generate a progressive Type-II censored data from exponential distribution, then these data is used to compute the point and interval estimations of the parameter and compare both the methods used when different random schemes.

/pdf/statistical-inference-using-progressively-type-ii-censored-1zezlu1ayc.pdf

Statistical Inference Using Progressively Type-II Censored Data with Random Scheme

Statistical inferences of the parameters included in a competing risks model are presented. It is assumed here that the causes of failures may occur at times that follow modified Weibull distributions. The case of Weibull distributions can be derived as special case of the problem studied in this paper. The maximum likelihood procedure is used to get the point estimations and asymptotic confidence intervals of the parameters. Two hypothesis are tested. The first is when the causes of failure follow exponential distributions against modified Weibull. The second is when the causes of failure follow Weibull distributions against modified Weibull. We used a set of real data to explain the theoretical results obtained.

Statistical Inference of a Competing Risks Model with Modified Weibull Distributions

In the present study, the sawdust of Leucaena leucocephala was examined to understand its suitability as substratum for the production of oyster mushroom (Pleurotus ostreatus). The sawdust contained 86.1, 25.8, 46.9, 27.56, 0.18, 45.36, 20.58, 27.3 and 1.9% of organic carbon, crude protein, neutral detergent fiber, acid detergent fiber, total lipids, cellulose, hemicellulose, lignin, and ash, respectively. Higher growth rate of the fungus was recorded after incubation for eight days on the sawdust of L. leucocephala in Petri dishes. However, the weekly production of fruiting bodies (FB) decreased with increase in incubation period, but the accumulated production increased significantly. On the other hand, total production decreased with increase in incubation periods. The contents of ash, fiber, lipid, and nitrogen (crude protein) decreased significantly with increase in growth periods. The alterations in both fatty acid and amino acid contents of FB showed a negative correlation and visible catabolic metabolism with extension of the incubation period.

Saudi Arabia

Papers

Parameters Estimation of the Modified Weibull Distribution

Detection of land use and land cover changes in dirab region of saudi arabia using remotely sensed imageries

Statistical Inference Using Progressively Type-II Censored Data with Random Scheme

Statistical Inference of a Competing Risks Model with Modified Weibull Distributions

Biochemical composition of pleurotus ostreatus (jacq.) p. kumm. grown on sawdust of leucaena leucocephala (lam.) de wit.