In this paper, we present a new univariate flexible generator of distributions, namely, the odd Perks-G class. Some special models in class are introduced. The quantile function (QFUN), ordinary and incomplete moments (MOMs), generating (GFUN), residual reversed lifetimes (RLT), four different types entropy all structural aspects proposed family that hold for any baseline model. Maximum likelihood (ML) maximum product spacing (MPS) estimates model parameters given. Bayesian obtained. We also...

Diabetes is a chronic disease caused by persistently high blood sugar level, causing other diseases, including cardiovascular, kidney, eye, and nerve damage. Prompt detection plays vital role in reducing the risk severity associated with diabetes, identifying key factors can help individuals become more mindful of their lifestyles. In this study, we conducted questionnaire-based survey utilizing standard diabetes variables to examine prevalence Bangladesh. To enable prompt compared different...

The Truncated Cauchy Power Weibull-G class is presented as a new family of distributions. Unique models for this are in paper. statistical aspects the explored, including expansion density function, moments, incomplete moments (IMOs), residual life and reversed functions, entropy. maximum likelihood (ML) Bayesian estimations developed based on Type-II censored sample. properties Bayes estimators parameters studied under different loss functions (squared error function LINEX function). To...

This article proposes a new lifetime-generated family of distributions called the sine-exponentiated Weibull-H (SEW-H) family, which is derived from two well-established families entirely different nature: sine-G (S-G) and exponentiated (EW-H) families. Three special models this include Weibull exponential (SEWEx), Rayleigh (SEWR) Burr X (SEWBX) distributions. The useful expansions probability density function (pdf) cumulative distribution (cdf) are derived. Statistical properties obtained,...

Abstract Alzheimer's disease, often known as dementia, is a severe neurodegenerative disorder that causes irreversible memory loss by destroying brain cells. People die because there no specific treatment for this disease. most common among seniors 65 years and older. However, the progress of disease can be reduced if it diagnosed earlier. Recently, artificial intelligence has instilled hope in diagnosis performing sophisticated analyses on extensive patient datasets, enabling identification...

Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its main cause genetic, early treatment identification can reduce the patient’s expensive medical costs lengthy examinations. We developed machine learning (ML) architecture capable of effectively analysing autistic children’s datasets accurately classifying identifying ASD traits. considered screening dataset toddlers...

<abstract><p>The arctan uniform distribution (AUD) is a brand-new bounded that may be used for modeling variety of existing real-world datasets. Ranked set sampling (RSS) useful technique parameter estimation when accurate measurement the observation challenging and/or expensive. In current study, estimator AUD addressed based on RSS and simple random (SRS) techniques. Some popular conventional estimating techniques are considered. The efficiency produced estimates compared using...

In this article, a four parameter lifetime model called the Topp–Leone modified Weibull distribution is proposed. The suggested can be considered as an alternative to Kumaraswamy Weibull, generalized extend odd Lomax, Weibull-Lomax, Marshall-Olkin alpha power extended and exponentiated exponential distributions, etc. includes Topp-Leone Linear failure rate, Rayleigh distributions special case. Several characteristics of new including quantile function, moments, moment generating central...

In this article, we introduce a new extension of the Kumaraswamy (Ku) model, which is called Kavya Manoharan (KMKu) model. The shape forms pdf for KMKu model various values parameters are similar to Ku It can be asymmetric, such as bathtub, unimodal, increasing and decreasing. addition, hrf U-shaped, J-shaped increasing. Several statistical computational properties were computed. Four different measures entropy studied. maximum likelihood approach was employed estimate under simple ranked...

<abstract> <p>The mathematical characteristics of the mixture Lindley model with 2-component (2-CMLM) are discussed. In this paper, we investigate both practical and theoretical aspects 2-CMLM. We several statistical features mixed like probability generating function, cumulants, characteristic factorial moment mean time to failure, Mills Ratio, residual life. The density, hazard rate functions, mean, coefficient variation, skewness, kurtosis all shown graphically. Furthermore,...

Statistical models perform an essential role in data analysis, and statisticians are constantly looking for novel or pretty recent statistical to fit sets across a broad variety of fields. In this study, we used modified Kies generalized transformation the new power function suggest unique model. We present discuss linear illustration density function. Theoretically, quantile function, characteristic stochastic ordering, mean, moments just few structure properties discuss. By defining ideal...

A new class of statistical distributions called the Type II half-Logistic odd Fréchet-G is proposed. The a continuation unusual Fréchet class. This analytically feasible and could be used to evaluate real-world data effectively. suggested has many symmetrical asymmetrical sub-models. We propose four sub-models from which are exponential distribution, Rayleigh Weibull Lindley distribution. Some features such as ordinary moments (ORMs), incomplete (INMs), moment generating function (MGEF),...

A new three-parameter survival model is proposed using the Kavya–Manoharan (KM) transformation family and exponentiated Weibull (EW) distribution. The shapes of pdf for can be asymmetric symmetric shapes, such as unimodal, decreasing, right-skewed symmetric. In addition, hrf suggested increasing, constant J-shaped. Statistical properties are obtained: quantile function, mode, moments, incomplete residual life time, reversed probability weighted order statistics entropy. We discuss maximum...

This work will address the problem of estimating parameters for Nadaraj ah–Haghighi (NH) distribution using progressive Type-1 censoring (PT1C) utilizing Bayesian and non-Bayesian approaches. To apply PT1C, times each stage needed to be known before experiment started. solve this issue time selection, qauntiles from NH lifetime used as PT1C points. Maximum likelihood (ML) estimators (MLEs) asymptotic confidence intervals (ACoIs) are produced with a focus on technique. Bayes estimates (BEs)...

In this paper, we present the half logistic inverted Nadarajah–Haghigh (HL-INH) distribution, a novel extension of (INH) distribution. The probability density function (PDF) for HL-INH distribution might have unimodal, right skewness, or heavy-tailed shape numerous parameter values; however, forms hazard rate (HRF) may be decreasing. Four specific entropy measurements were investigated. Some useful expansions Several statistical and computational features calculated. Using simple (SRS)...

In this article, a new one parameter survival model is proposed using the Kavya-Manoharan (KM) transformation family and inverse length biased exponential (ILBE) distribution. Statistical properties are obtained: quantiles, moments, incomplete moments moment generating function. Different types of entropies such as Rényi entropy, Tsallis Havrda Charvat entropy Arimoto computed. measures extropy extropy, cumulative residual negative When lifetime item under use assumed to follow (KMILBE)...

A new class of distribution called the Fréchet binomial (FB) is proposed. The suggested model very flexible because its probability density function can be unimodal, decreasing and skewed to right. Furthermore, hazard rate increasing, decreasing, up-side-down reversed-J form. Important mixture representations (pdf) cumulative (cdf) are computed. Numerous sub-models FB explored. statistical mathematical features such as quantile (QUNF); moments (MO); incomplete MO (IMO); conditional (CMO);...

<abstract><p>In this article, a new three-parameter lifetime model called the Gull alpha power exponentiated exponential (GAPEE) distribution is introduced and studied by combining family of distributions distribution. The shapes probability density function (PDF) for GAPEE can be asymmetric shapes, like unimodal, decreasing, right-skewed. In addition, hazard rate (hrf) increasing, upside-down shaped. Several statistical features are computed. Eight estimation methods such as...

This article introduces a novel variant of the generalized linear exponential (GLE) distribution, known as sine (SGLE) distribution.The SGLE distribution utilizes transformation to enhance its capabilities.The updated is very adaptable and may be efficiently used in modeling survival data dependability issues.The suggested model incorporates hazard rate function (HRF) that display rising, J-shaped, or bathtub form, depending on unique characteristics.This includes many well-known lifespan...

Abstract This research investigates the application of ordered ranked set sampling (ORSSA) procedure in constant-stress partially accelerated life-testing (CSPALTE). The study adopts assumption that lifespan a specific item under operational stress follows half-logistic probability distribution. Through Bayesian estimation methods, it concentrates on estimating parameters, utilizing both asymmetric loss function and symmetric function. Estimations are conducted using ORSSAs simple random...

The detection of lung nodules at their early stages may significantly enhance the survival rate and prevent progression to severe disability caused by advanced cancer, but it often requires manual laborious efforts for radiologists, with limited success. To alleviate it, we propose a Multi-View Soft Attention-Based Convolutional Neural Network (MVSA-CNN) model multi-class nodular classifications in three (benign, primary, metastatic).

In survival analysis, the two-parameter inverse Lomax distribution is an important lifetime distribution. this study, estimation of <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>R</a:mi> <a:mo>=</a:mo> <a:mi>P</a:mi> <a:mtext> </a:mtext> <a:mfenced open="[" close="]"> <a:mrow> <a:mi>Y</a:mi> <a:mo>&lt;</a:mo> <a:mi>X</a:mi> </a:mrow> </a:mfenced> </a:math> investigated when stress and strength random variables are independent Using maximum likelihood approach, we obtain...

In this article, we intend to introduce and study a new two-parameter distribution as extension of the power Topp–Leone (PTL) called Kavya–Manoharan PTL (KMPTL) distribution. Several mathematical statistical features KMPTL distribution, such quantile function, moments, generating incomplete are calculated. Some measures entropy investigated. The cumulative residual Rényi (CRRE) is To estimate parameters both maximum likelihood Bayesian estimation methods used under simple random sample (SRS)...

Respiratory diseases (RD) are significant public health burdens and malignant worldwide. However, the RD-related biological information interconnection still need to be better understood. Thus, this study aims detect common differential genes potential hub (HubGs), emphasizing their actions, signaling pathways, regulatory biomarkers for diagnosing RD candidate drugs treating RD. In paper we used integrated bioinformatics approaches (such as, gene ontology (GO) KEGG pathway enrichment...