Digital Commons Network^™

A Reverse Exponential-Generalized Truncated Logarithmic (Rev-Egtl) Distribution For Ordered Spacing Statistics, Mohieddine Rahmouni, Ayman Orabi

Journal of Statistics Applications & Probability

This paper extends the exponential-generalized truncated logarithmic (EGTL) distribution to model reverse ordered statistics. Our procedure generalizes the exponential-logarithmic (EL) distribution to a distribution more appropriate for modelling the mth-largest value of lifetime instead of the maximum lifetime. We give a general form of the new family of spacing distribution appropriate for descending ordered statistics. General forms of the pdf and the failure rate function as well as their properties are presented for some special cases. The parameters’ estimation is attained by the maximum likelihood (ML) and the expectation maximization (EM) algorithms. The application study is illustrated based on four …

Neutrosophic Non-Linear Regression Based On Kuhn-Tucker Necessary Conditions, Mahmoud A. Abo-Sinna, Nagwa G. Ragab

Journal of Statistics Applications & Probability

Correlation coefficient and regression analysis are the most applied statistical approaches accessible in numerous disciplines due to its applicability and relevance. The neutrosophic sets found their place into recent research, whereas the world is full of indeterminacy. Kuhn-Tuckers necessary conditions are used to obtain the estimated parameters for non-linear regression models. This estimation procedure can use for any data set of non-linear regression models. We present, in this paper, the concepts of neutrosophic correlation and non-linear regression based on Kuhn-Tuckers necessary conditions. we provide some comparative studies between single-valued neutrosophic set and interval-valued neutrosophic set. Next, we apply scoring methods …

Some New Constructors Of Circular Strongly Generalized Neighbor Designs, Imran Munir, Hurria Ali, Muhammad Sajid Rashid, Khadija Noreen, Rashid Ahmed, Mahmood Ul Hassan

Journal of Statistics Applications & Probability

Minimal strongly balanced neighbor designs are well known designs to balance the neighbor effects at low cost as well as to estimate the direct effects and neighbor effects independently for v odd, where v is number of treatments to be compared. Minimal strongly generalized neighbor designs are used to minimize the bias due to neighbor effects for v even. In this article, constructors are developed to construct two useful classes of minimal circular strongly generalized neighbor designs.

Catalogues Of Efficient Minimal Weakly Balanced Rmds In Circular Periods Of Three Different Sizes, Muhammad Riaz, Hafiz Muhammad Arshad, Rida Jabeen, Muhammad Sajid Rashid, Adil Afzal, Rashid Ahmed

Journal of Statistics Applications & Probability

In this article, efficient minimal circular weakly balanced RMDs are constructed for the situations where these designs cannot be constructed through generators. Catalogues of these efficient designs are compiled in periods of three different sizes. In the proposed designs, v/2 ordered pairs of distinct treatments do not appear as their preceded value while the remaining ones appear once, where v is number of treatments to be compared.

Predicting And Controlling Fertility Using Family Planning Methods, A. H. Elnagar, Hegazy Zahir, Sayed Khater

Journal of Statistics Applications & Probability

Without a real reduction in population fertility rates, developing societies will push for more spending on their infrastructure and more demand for basic services for new-born, and more dependency and crowding, and the attendant ills and various social, economic and cultural problems, which will push these countries towards Directing a large part (if not most) of development revenues to meet the growing population. In general, the importance of this study lies in how to predict fertility rates using the rates of family planning methods (practice rates, years of protection) and to identify the method of neural networks and its accuracy …

Some New Constructors For Minimal Circular Partially Balanced Neighbor Designs, Qaisar Mehmood, Hafiz Muhammad Arshad, Khadija Noreen, Imran Munir, Abdul Salam, Rashid Ahmed

Journal of Statistics Applications & Probability

Minimal circular neighbor designsa are economical to minimize the bias due to neighbor effects for v odd. For v even, minimal circular partially balanced neighbor designs (MCPBNDs) are used. Generators to obtain MCPBNDs-II in equal, two and three different blocks sizes are available in literature for c = 0 and 1, where c is remainder if m is divided by 4, m = (v − 2)/2 and v is number of treatments. These designs have not been constructed for c = 2 and 3. To complete the construction of this class of neighbor designs, MCPBNDs-II are, therefore, constructed for the …

Negative Binomial Quasi Akash Distribution And Its Applications, Showkat Ahmad Dar, Anwar Hassan, Peer Bilal Ahmad

Journal of Statistics Applications & Probability

In this paper, we obtained a new model for count data by compounding of negative binomial with quasi Akash distribution. Important mathematical and statistical properties of the distribution have been derived and discussed. Then, parameter estimation is discussed using maximum likelihood method of estimation. Finally, the potential of the proposed model has been tested by chi-square goodness of fit test by modeling the real count data set.

New Simple And Multiple Nonparametric Regression Model Using A Standard Logistic Kernel With Application To Fire Accidents Data, Samah M. Abo-El-Hadid

Journal of Statistics Applications & Probability

In this paper, new simple and multiple Nadaraya-Watson regression models are introduced by using a standard logistic kernel density. The statistical properties of the resulting regression functions are studied, and then the suggested models are applied to Egyptian fire accidents real data during the year 2020. Also, the suggested regression models are compared with other parametric and nonparametric regression models.

Weibull-Linear Exponential Distribution And Its Applications, Ahmed. G. Atia, Mohamed. A. W. Mahmoud, Rashad. M. El-Sagheer, Beih. S. El-Desouky

Journal of Statistics Applications & Probability

In this article, a new four-parameter lifetime distribution, namely, the Weibull-Linear exponential distribution is defined and studied. Several of its structural properties such as quartiles, moments, mean waiting time, mean residual lifetime, Renyi entropy, mode, and order statistics are derived. Based on the idea of the Weibull T − X family, the new density function of this model is developed. The model parameters, as well as some of the lifetime parameters (reliability and failure rate functions), are estimated using the maximum likelihood method. Asymptotic confidence intervals estimates of the model parameters are also evaluated by using the Fisher information matrix. …

Estimation Of Mean In Two-Staged Unequally Clustered Population In Presence Of Non-Response Situation, P. Mukhopadhyay, A. Bandyopadhyay, G. N. Singh

Journal of Statistics Applications & Probability

In this article, authors have tried to implement a modified version of [1] estimator in a two-stage unequally clustered population where the second stage units can be either of responding or non-responding type. We have utilized imputation technique to tackle the non-response persisting even after second call in the situation of two-staged unequal cluster population which is completely a new attempt. The purpose is to strengthen the new estimator by improving the ‘second call’ part of the estimator. Instead of taking a simple weighted average of the responding part after ‘second call’ a difference type imputation (to deal with the …

An Exponential Ratio Type Estimator Of The Population Mean In The Presence Of Non-Response Using Double Sampling, Adnan Khan, Amjad Ali, Muhammad Ijaz, Muhammad Azeem, Mahmoud El-Morshedy

Journal of Statistics Applications & Probability

In modern era, proper and effective planning can be only possible using statistical techniques to estimate different characteristics of population under studies. An appropriate sample design based on efficient estimation technique is desirable to extract maximum information from sample data. It is a well-known phenomenon to use auxiliary information and to reduce the negative impact of non-response using Hansen & Hurwitz approach that further increase the efficiency of an estimator. Information on one or more auxiliary variables correlated with study variable in several ways to get more reliable estimate. The current paper presents a novel Exponential ratio type estimator to …

A New Extension Of Two Parameter Pranav Distribution With Applications In Industrial And Medical Sciences, V. Rajagopalan, R. A. Ganaie, S. R. Nair

Journal of Statistics Applications & Probability

In this study, a new distribution has been proposed called as weighted three parameter Pranav distribution. The different statistical properties of new distribution have been obtained which include moments, harmonic mean, order statistics, survival analysis, entropies, bonferroni and Lorenz curves. For estimating the model parameters of the new distribution, the technique of maximum likelihood estimation has been used. Finally, three real life data sets have been fitted in new distribution to discuss its goodness of fit.

Mixed Statistical Matching Approaches Using A Latent Class Model: Simulation Studies, Israa Lewaa, Mai Sherif Hafez, Mohamed Ali Ismail

Journal of Statistics Applications & Probability

In the era of data revolution, availability and presence of data is a huge wealth that has to be utilized. Instead of making new surveys, benefit can be made from data that already exists. As, enormous amounts of data become available, it is becoming essential to undertake research that involves integrating data from multiple sources in order to make the best use out of it. Statistical Data Integration (SDI) is the statistical tool for considering this issue. SDI can be used to integrate data files that have common units, and it also allows to merge unrelated files that do not …

Relationship Between The Standard Of Living, Economic Situation, And Security Situation Of Nigerians During The Covid-19 Pandemic. A Non-Parametric Analysis Approach, A. F. Adedotun, O. P. Ogundile, G. O. Odekina, I. V. Okafor

Journal of Statistics Applications & Probability

The Covid-19 pandemic has crippled the economic activities of so many nations across the globe since its outbreak in 2019. This study is focused on the resultant effect of the covid-19 pandemic in terms of standard of living, perception of economic and security situation of Nigerians. This study used a non-parametric approach involving Spearman rank correlation and Mann-Whitney U to analyze primary data acquired from NoiPolls’ online administration of questionnaires during the Covid-19. The result obtained from this study depicts that there is a significant relationship between the security situation and perception of the country’s economic situation. The standard of …

Estimation Of Finite Population Mean Through A Two- Parameter Ratio- Product-Ratio-Type Exponential Estimator In Systematic Sampling, Housila P. Singh, Anita Yadav

Journal of Statistics Applications & Probability

In this Paper, we suggest a two parameter ratio-product-ratio-type exponential estimator for estimating the finite population mean in systematic sampling. The bias and mean squared error of the suggested estimator are obtained to the first degree of approximation. It has been shown that the proposed estimator is better than the usual unbiased estimator, Swain’s (1964) ratio estimator, Shukla’s (1971) product estimator and Singh et al’s (2011) estimators under some realistic conditions. An empirical study has been under taken to evaluate the performance of the suggested estimator over other existing estimators.

Statistical Analysis Of A Linear Multi-Step Numerical Treatment, A. T. Zaidi, O. L. Al-Harbi

Journal of Statistics Applications & Probability

The aim of this paper is to compare the relative accuracies between predictor-corrector methods, Adams-Bashforth method and Adams-Moulton method for solving initial value Differential Equations numerically to observe which methods tend to function well in which step-size brackets as well as which ones provide the minimum amount of error when compared to the true value. The statistical analysis shows that there is always a small amount of error present using Heun’s method; however, the error is rarely large enough unless the function is rapidly rising.

Anthology On Racism, The Black Experience, And Privilege, Marshall University Society Of Black Scholars, Marshall University Office Of Intercultural Affairs

Marshall Books

RACISM IN YOUR LIFE

The depth, impact, and experience of “racism” in our personal lives is a story that we do not often tell. These are predominantly private matters, only occasionally shared and with only certain people in our lives. Unfortunately, many people in our world are unaware of its full existence and do not know the truth about the experiences of racism in our daily lives. Without knowledge of these truths, society, including university leadership, cannot make adequate advancements to address these demoralizing experiences of people of color. In this anthology, writings on this subject will bring clarity, truth, …

Nationwide Assessment Of Leadership Development For Graduate Students In The Agricultural Plant Sciences, Karen Ferreira Da Silva, Ella Burnham, Joe Louis, Douglas Golick, Sydney E. Everhart

Department of Plant Pathology: Faculty Publications

Leadership development is a universally important goal across the agricultural plant science disciplines. Although previous studies have identified a need for leadership skills, less is known about leadership skill development in graduate programs. To address this, we constructed a mixed-method study to identify the most significant graduate school leadership experiences of scientists in the agricultural plant science disciplines. The survey was deployed to 6,728 people in the U.S. and received 1,086 responses (16.1% response rate). The majority of respondents reported that they were from one of the major agricultural states and employed at one of the agricultural plant science related …

Simple Polystyrene Microfluidic Device For Sensitive And Accurate Sers-Based Detection Of Infection By Malaria Parasites, Maria Joao Oliveira, Soraia Caetano, Ana Dalot, Filipe Sabino, Tomas Calmeiro, Elvira Fortunato, Rodrigo Martins, Eulalia Pereira, Miguel Prudencio, Hugh Byrne, Ricardo Franco, Hugo Aguas

Articles

Early and accurate detection of infection by pathogenic microorganisms, such as Plasmodium, the causative agent of malaria, is critical for clinical diagnosis and ultimately determines the patient’s outcome. We have combined a polystyrene-based microfluidic device with an immunoassay which utilises Surface-Enhanced Raman Spectroscopy (SERS) to detect malaria. The method can be easily translated to a point-of-care testing format and shows excellent sensitivity and specificity, when compared to the gold standard for laboratorial detection of Plasmodium infections. The device can be fabricated in less than 30 min by direct patterning on shrinkable polystyrene sheets of adaptable three-dimensional microfluidic chips. To validate …

Laser Light As An Emerging Method For Sustainable Food Processing, Packaging, And Testing, Prasad Chavan, Rahul Yadav, Pallavi Sharma, Amit Jaiswal

Articles

In this review article, we systematically investigated the diverse applications of laser technology within the sphere of food processing, encompassing techniques such as laser ablation, microbial inactivation, state-of-the-art food packaging, and non-destructive testing. With a detailed exploration, we assess the utility of laser ablation for the removal of surface contaminants from foodstuffs, while also noting the potential financial and safety implications of its implementation on an industrial scale. Microbial inactivation by laser shows promise for reducing the microbial load on food surfaces, although concerns have been raised about potential damage to the physio characteristics of some fruits. Laser-based packaging techniques, …

R-Process Nucleosynthesis: Identifying The Significant Nuclear Properties, Sabina Gaia Tomasicchio

2023 REYES Proceedings

We provide a theoretical overview of r-process nucleosynthesis. We then identify the nuclear properties that have the greatest astrophysical impact according to recent sensitivity studies as: nuclear masses, β decays and neutron capture rates. Finally, we briefly discuss how the NuCRL model can enhance the performance of the relevant simulations.

Identification And Biosynthetic Study Of The Siderophore Lysochelin In The Biocontrol Agent Lysobacter Enzymogenes, Amanda Lynn Miller, Shanren Li, Catherine D. Eichhorn, Yongbiao Zheng, Liangcheng Du

Liangcheng Du Publications

Lysobacter is a genus of bacteria emerging as new biocontrol agents in agriculture. Although iron acquisition is essential for the bacteria, no siderophore has been identified from any Lysobacter. Here, we report the identification of the first siderophore, N1,N8-bis(2,3-dihydroxybenzoyl)spermidine (lysochelin), and its biosynthetic gene cluster from Lysobacter enzymogenes. Intriguingly, the deletion of the spermidine biosynthetic gene encoding arginine decarboxylase or SAM decarboxylase eliminated lysochelin and the antifungals, HSAF and its analogues, which are key to the disease control activity and to the survival of Lysobacter under oxidative stresses caused by excess iron. The production of …

Analysis Of Gene Expression Investigating Biology Underlying High Regenerative Ability Of Marine Invertebrate Botrylloides Violaceus, Cassidy Andrasz

Baker/Koob Endowments Awarded Projects

The marine invertebrate Botrylloides violaceus is a species of tunicate found in Morro Bay, CA with the extraordinary ability to regenerate its whole body. Furthermore, tunicates are the closest known relatives to vertebrates. Due to this organism's regenerative ability and relationship to vertebrates, it is of great interest to investigate the underlying mechanisms of regeneration and review its potential applications to related vertebrate organisms, including humans. The genome of B. violaceus was sequenced and assembled at Cal Poly, SLO which allowed for the proposed experiments to analyze gene expression, a field called transcriptomics. Transcriptomics tells us how the organism is …

Assessing The Unionid Assemblage Of The Robert C. Byrd Pool, Ohio River, Ethan Hunter Bellamy

Theses, Dissertations and Capstones

Unionid mussels are the most imperiled taxa in the United States and are vastly understudied. The entire Robert C. Byrd (RCB) pool of the Ohio River is the study area. I selected sites from the 2019 and 2013 ORSANCO RCB pool assessments that utilize random site selection across the pool. I used SCUBA to survey and collect data on unionid diversity, reproduction, and habitat. I collected 1,083 individuals over 19 species in RCB pool. I compared results from RCB pool survey to two similar surveys conducted in Greenup Pool. Both richness and abundance in the Upper Section of Greenup Pool …

2023 Sdsu Data Science Symposium Schedule, South Dakota State University

SDSU Data Science Symposium Programs

No abstract provided.

Southern Adventist University Adult Degree Completion Catalog 2022-2023, Southern Adventist University

Catalog, Adult Degree Completion

Southern Adventist University's adult degree completion catalog for the academic year 2022-2023.

Fay B. Kaigler Children's Book Festival 2023 Program, Usm School Of Library And Information Science

Fay B. Kaigler Children's Book Festival Programs

No abstract provided.

Assessing Ecotoxicity Of Surface Water And Sediment In The Little Scioto River, Leah Suzanne Morgan

Theses, Dissertations and Capstones

Aquatic toxicology evaluates the impact of pollution on freshwater and marine biota. Polycyclic aromatic hydrocarbons (PAHs) are one class of chemicals prevalent in the environment that impair aquatic organisms. This study examined the effect of contaminated surface water and sediments from a former wood treatment facility on four aquatic species: Pimephales promelas (fathead minnow), Ceriodaphnia dubia (water flea), Chironomus dilutus (midge), and Daphnia magna (water flea). The findings showed that sediment contamination had no significant effect on survival and growth of C. dilutus or on survival of D. magna. Surface water contamination began to have a significant effect on …

Characterizing The Vegetation And Effects Of Climate Change On Parris Island, A Sea Island Ecosystem, Cody Hart Goodson

Theses, Dissertations and Capstones

Coastal habitats provide many ecosystem services, protecting coastlines from storm surges and erosion, diminishing the effects of eutrophication, sequestering large amounts of carbon, and acting as vital wildlife habitat. Sea-level rise and increased storm surge intensity associated with climate change are increasingly disrupting coastal habitats. These disturbances can shift environmental gradients that drive the zonation of coastal vegetation types, driving habitat conversion. Monitoring coastal habitat conversion can improve our understanding of the dynamic effects of climate change on these landscapes. Therefore, our objectives for chapter 1 were to identify and describe the distributions of vegetation types present on Marine Corps …

Effect Of Ultrasound-Assisted Thin Bed Drying For Retaining The Quality Of Red Bell Pepper And Compare The Predictive Ability Of The Mathematical Model With Artificial Neural Network, Raju Sasikumar, Irengbam Barun Mangang, Kamchampati Vivek, Amit K. Jaiswal

Articles

Red bell peppers (Capsicum ann. L.) are low in calories and high in nutrients, including vitamins A and C. Various factors such as weight loss, senescence, and microbial influence affect their quality during storage. To address this, the present study aims to preserve and retain the quality of red bell peppers using ultrasound-assisted thin-bed drying. The results were analyzed using an Artificial Neural Network (ANN) for more accurate prediction of variables involved in the process. Variations in moisture ratio and moisture content during drying were calculated and predicted. The Mid. model provided satisfactory curve fitting at an air velocity of …