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64 articles for “Probability Distribution”
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Fitting of Probability Distribution on the Pre-Monsoon Precipitation of Different Locations in Bangladesh
Abstract: In this study, different probability distributions have been fitted for the data of pre-monsoon precipitation for 17 different locations in Bangladesh over the period 1961–2014. It is found that for the pre-monsoon precipitation, the Gamma is the best-fitted distribution for the locations of Faridpur, Maijdi Court, Khulna, Barisal, Dhaka, Rangamati, Ishurdi, and Rangpur. Furthermore, the Weibull distribution is well fitted for the pre-monsoon precipitations of Chittagong, Comilla, Cox's Bazar, and …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 34–47 Read article
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Extreme Value Analysis of Rainfall using L-Moments of Five Probability Distributions for Chandwa and Latehar Sites in Jharkhand
Abstract: Estimation of rainfall for a given return period is of utmost importance for planning, design and management of civil and hydraulic structures. This can be achieved by conducting Extreme Value Analysis (EVA) of rainfall that consists of fitting probability distributions (PDs) to the annual maximum series of rainfall. In this paper, a study on intercomparison of L-Moments (LMO) of five PDs viz., Extreme Value Type-1 (EV1), Extreme Value Type-2, Generalized …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 42–50 Read article
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Intercomparison of Rainfall Estimates of Probability Distributions for Developing the Intensity-Duration-Frequency Curves
Abstract: Determination of short duration rainfall through the developed Intensity-Duration-Frequency (IDF) curve is of utmost importance for planning, design, operation and management of civil and hydraulic structures. For which, extreme value analysis (EVA) of rainfall that consists of fitting probability distributions such as Normal, Log Normal (LN2), Pearson Type-3, Log Pearson Type-3, Extreme Value Type-1 (EV1) and Generalized Extreme Value (GEV) to the annual 1-day maximum rainfall series is carried out. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 3, 2022 · pp. 39–53 Read article
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Use of Matlab in Teaching The Fundamentals of Probability
Abstract: The aim of this paper is to improve teaching efficiency with use of powerful educational software called 'MATLAB'. In this paper using the 'MATLAB' tool 'Makeshow' we attractively introduce normal probability distribution for the normally distributed random variables. Using these tool students can easily create interactive slideshows. Because of their rich library, available tools and demos matlab is easy to use for the students and so it provides option of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 3, 2018 · pp. 31–35 Read article
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Smart Framework for Personal Fuel Expense Tracking and Carbon Emission Assessment
Abstract: This study presents a smart system that is intended to assist individuals and administrators in tracking their fuel costs and keeping an eye on their daily carbon emissions. It makes it simpler to make decisions by examining fuel consumption and its effects on the environment. The technology gathers real-time emissions data from vehicles equipped with Internet of Things devices. It can predict future trends of emissions by utilizing AI-based predictive …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 36–44 Read article
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An Exact Kolmogorov–Smirnov Test for the Negative Binomial Distribution with Unknown Probability of Success
Abstract: AbstractIn this paper, we develop an exact Kolmogorov–Smirnov goodness-of-fit test in the case of negative binomial distribution with an unknown probability of success. This test is conditional, with the test statistic being the maximum absolute difference between the empirical distribution function and its conditional expectation given the sample total. The results are not asymptotic, but exact. We illustrate the test with three examples in case the size parameter equals one …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 1, 2013 · pp. 1–13 Read article
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Flood Frequency Analysis of Big Akaki River, Awash Basin, Ethiopia
Abstract: Flood is one of the most dangerous naturally occurring catastrophic hazards now days displacing and killing people and destroying properties. During high flow, the Big Akaki River flooded the vicinity of the area and causes loss of cultivated land and life. Flood water inundates the floodplain areas and cause vast damages to life and property. The main objective of this paper is to analyze the inundation area along the Big …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 35–48 Read article
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Mixture Probability with Rayleigh Model and Application in Reliability
Abstract: Single Rayleigh distribution (RD) is a unimodal two tailed probability distribution. It is useful for the data which spreads equally to the two sides of its modal value. Some properties of the Rayleigh distribution have been discussed in this paper. Mixture distributions arise in engineering, economics, sciences, biosciences, medical sciences and play vital role. While modeling a great variety of data, a mixture model has been defined (investigated) with mixture …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 17–27 Read article
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A Bayesian Case-Control Study to Study the Effect of Covariates in Gall Bladder Carcinoma
Abstract: The paper provides a Bayesian study to see the effect of different covariates in developing gallbladder carcinoma from a group of patients examined in the form of case-control scenario. The cases are those who have developed carcinoma from a group of gallbladder patients and the control are those who belong to the latter category but not in the former. The study has also been extended to evaluate the odds ratio, …
Published in Research and Reviews: A Journal of Medicine · Vol. 1, Issue 1, 2011 Read article
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Bayesian Analysis of Operating Characteristic Curves of Single Sampling Plans by Attributes under Mixture of Two Binomial Distributions
Abstract: In the current scenario, manufacturing of products in single stream is not enough to meet the needs of consumers and in order to increase the production, two or more streams are required and the lots are formed from various streams. The production unit differs due to input raw materials, machineries, manpower and management, there may be inherent variation among the quality of the products manufactured from different streams. In this …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 12s–23s Read article
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Analysis of Gold Price Trend Using the Hidden Markov Model
Abstract: This study aims to analyze the behavior of gold prices in India through a two-state Hidden Markov Model (HMM). We first formulated crucial parameters, such as the Transition Probability Matrix (TPM), Initial Probability Vector (IPV), and Emission Probability Matrix (EPM). Subsequently, we constructed a hidden Markov probability distribution and evaluated Pearson’s coefficients to gauge the correlations separately for each state. The goodness of fit of the developed model was assessed …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 7–16 Read article
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A Study on a Single Server Batch Arrival General Bulk Service Queueing System
Abstract: AbstractThis paper deals with the transient and steady state behavior of a single server batch arrival bulk service queueing system. A batch of customers arrives according to a Poisson process, whereas the bulk service is rendered by a single server with a minimum batch size of ‘a’ and maximum of ‘b’. The service time follows a general distribution. Probability generating function of the distributions and , under equilibrium has been …
Published in Current Trends in Information Technology · Vol. 7, Issue 3, 2017 · pp. 1–8 Read article
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Weighted Latent Dirichlet Allocation, an Optimized and Generalized Probabilistic Topic Model
Abstract: In this study, we have introduced a new distribution named as Mixture Weighted Dirichlet Distribution (MWDD) which acts as generalization to other distributions viz. Dirichlet Distribution, Length or Size-Biased Dirichlet, Area Biased and Volume Biased Dirichlet distributions. Aim of this research is to introduce and implement MWDD for Probabilistic Topic Modeling of Corpus of textual data as an optimized as well as generalized probabilistic topic model. Various statistical and structural …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 18–31 Read article
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Study of Rainfall According to Rainy Nakshatra
Abstract: Most of the Indian farmers used to plan their agriculture work in accordance with eleven rainy nakshatras. It is necessary to verify which rainy nakshatra is more reliable to all farmers. This paper focuses on the study of rainfall under rainy nakshatras. This analysis will provide useful information for water resources planner and farmers to assess the availability of water and create the storage accordingly. The scientific results and the …
Published in Research & Reviews : Journal of Ecology · Vol. 7, Issue 3, 2018 · pp. 23–28 Read article
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Selection of the Best Statistical Distribution with Multicriteria Decision Making Technique TOPSIS
Abstract: Due to highly competitive global market, the organizations are now forced to focus more on increasing the productivity in their organization. Reliability estimation is necessary to meet that goal. Again for determining Reliability the Distributions of failure datasets are important. But which distribution will best represent that dataset is very important for the decision maker. In this paper an approach is adopted where the decision maker is the central actor …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 2, 2012 Read article
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Distancing Hazards on the Road, Statistically
Abstract: hp 12.00 Normal 0 false false false EN-GB X-NONE X-NONE Road accidents contribute 36.2% to all unnatural accidental deaths in India. Despite the fact that India supports the largest road network in the world with an estimate of over 2.5 million kilometers of roads, roads are still termed as one of the infrastructural bottlenecks to a country on the move. Whether it is because of lack of quantity or quality, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 2, Issue 2, 2012 · pp. 1–12 Read article
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Estimation of Peak Flood Discharge for the Ungauged Catchments in the Tributaries of River Sutlej using Synthetic Unit Hydrograph Approach
Abstract: Estimation of peak flood discharge (PFD) for a given return period is of utmost importance for planning and design of hydraulic structures, river protection works, and development of integrated water resources management projects which can be computed by applying various approaches viz., flood frequency analysis, rational formula, envelope curve and synthetic unit hydrograph (SUH). In this paper, SUH approach is adopted for estimation of PFD for the ungauged catchments viz. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 29–41 Read article
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Turbulence Exploitation in Offshore Wind Farms: Improvement in Generated Power
Abstract: The limited space available for wind energy projects highlights the importance of improving the efficiency of wind farms, like the exploitation of turbulent wakes. In this work, we analyze the available energy associated with the turbulent wakes generated by offshore wind turbines at various downstream distances using a computational fluid dynamics (CFD) program (Autodesk). Classical wind conditions for offshore wind farms are established for the probability distribution of wind speed, …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 22–35 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article