Sohel Rana
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View article: BUSINESS PERFORMANCE THROUGH MARKETING, ORIENTATION AND INNOVATIVENESS: MEDIATED BY ENGAGEMENT AND TRUST
BUSINESS PERFORMANCE THROUGH MARKETING, ORIENTATION AND INNOVATIVENESS: MEDIATED BY ENGAGEMENT AND TRUST Open
The current study aims to examine how entrepreneurial orientation, digital marketing capability, and consumer innovativeness influence the business performance, with focus on the mediating effects of customer engagement & brand trust. The …
View article: Assessment of Energy Consumption and Emissions of Fabric Production Lines in Bangladesh
Assessment of Energy Consumption and Emissions of Fabric Production Lines in Bangladesh Open
View article: Outliers as a Source of Overdispersion in Poisson Regression Modelling: Evidence from Simulation and Real Data
Outliers as a Source of Overdispersion in Poisson Regression Modelling: Evidence from Simulation and Real Data Open
The Poisson regression model is a well-known technique for modelling count data. However, it is necessary to satisfy the overdispersion assumption in order to fit the Poisson regression model. Due to the overdispersion problem in the Poiss…
View article: Seasonal and Multilevel Association Based Approach for Market Basket Analysis in Retail Supermarket
Seasonal and Multilevel Association Based Approach for Market Basket Analysis in Retail Supermarket Open
Market Basket Analysis is an observational data mining methodology to investigate the consumer buying behavior patterns in retail Supermarket. It analyzes customer baskets and explores the relationship among products that helps retailers t…
View article: Robust Normality Test in the Presence of Outliers
Robust Normality Test in the Presence of Outliers Open
In classical statistics, detecting the normality of the data is one of the essential assumptions. However, if the selected random samples have some outliers, this assumption is violated. It is now evident that the Jarque-Bera (JB) test is …
View article: A Generic Approach for Relative Regular-Frequent Pattern Mining in Retail Supermarket
A Generic Approach for Relative Regular-Frequent Pattern Mining in Retail Supermarket Open
Regular-Frequent item-sets mining is a challenging data mining concept to discover interesting and useful patterns in retail transactional market databases. It offers the most extreme advantages to a retailer for product placements, segmen…
View article: Potato Grading Based on Size Features by Machine Vision Technique
Potato Grading Based on Size Features by Machine Vision Technique Open
In this study, a method was established to grade the potato-based on size features using a machine vision technique with image processing and multivariate analysis method. The individual potatoes image was captured using a color camera sen…
View article: Identification of High Leverage Points in Linear Functional Relationship Model
Identification of High Leverage Points in Linear Functional Relationship Model Open
In a standard linear regression model the explanatory variables, , are considered to be fixed and hence assumed to be free from errors. But in reality, they are variables and consequently can be subjected to errors. In the regression liter…
View article: Village based family planning program and use of contraceptive in Kuningan district in 2018
Village based family planning program and use of contraceptive in Kuningan district in 2018 Open
Village Family Planning (FP) program was launched in 2016 evaluation has not been done, so the results of the effectiveness of this program are not yet known for increasing the coverage of contraceptive use. The purpose of this study was t…
View article: Fixed Parameters Support Vector Regression for Outlier Detection
Fixed Parameters Support Vector Regression for Outlier Detection Open
The support vector machine (SVM) is currently a very popular technique of outlier detection as it is a robust model and does not require the data to be of full rank. With a view to evaluate the approximate relationship among the variables,…
View article: Determinants of Tourism and HIV/AIDS Incidence in West Java
Determinants of Tourism and HIV/AIDS Incidence in West Java Open
Indonesia defined as tourist destination where the international and domestic tourists enjoy the tourist attractions. Prostitution existing in tourism place may increase the prevalence of HIV/AIDS. The incidence and spread of AIDS in many …
View article: Detection of Outliers in Univariate Circular Data using Robust Circular Distance
Detection of Outliers in Univariate Circular Data using Robust Circular Distance Open
A robust statistic to detect single and multi-outliers in univariate circular data is proposed. The performance of the proposed statistic was tested by applying it to a simulation study and to three real data sets, and was demonstrated to …
View article: Prevalence, Risk factors and current prospectus of treatment management of hypertension including obese patients in Jessore, Bangladesh
Prevalence, Risk factors and current prospectus of treatment management of hypertension including obese patients in Jessore, Bangladesh Open
Background/Objectives: Cardiovascular disease (CVD) is the most concerning disease in health sectors, whole over the world. Some environmental parameters and physical condition affect on the cardiac health. We therefore observed a cross se…
View article: Small-Sample condence interval for the slope of linear structural relationship model
Small-Sample condence interval for the slope of linear structural relationship model Open
The asymptotic condence interval of the slope in linear structural rela-tionship model is usually used to draw the inference about parameter. It isnow evident that, asymptotic inference is often unreliable for small-sample.In small samples…
View article: Robust Circular Distance and its Application in the Identification of Outliers in the Simple Circular Regression Model
Robust Circular Distance and its Application in the Identification of Outliers in the Simple Circular Regression Model Open
Background and Objective: The existence of outliers in any type of data influences the efficiency of an estimator.Few methods for detecting outliers in a simple circular regression model have been proposed in the study but it suspected tha…
View article: Adjusting outliers in univariate circular data
Adjusting outliers in univariate circular data Open
Circular data analysis is a particular branch of statistics that sits somewhere between the analysis of linear data and the analysis of spherical data. Circular data are used in many scientific fields. The efficiency of the statistical met…
View article: Robust multivariate least angle regression
Robust multivariate least angle regression Open
The least angle regression selection (LARS) algorithms that use the classical sample means, variances, and correlations between the original variables are very sensitive to the presence of outliers and other contamination.To remedy this pr…
View article: Assessment of the livelihood status of fish farmers in some selected areas of Kaharole Upazila, Dinajpur, Bangladesh
Assessment of the livelihood status of fish farmers in some selected areas of Kaharole Upazila, Dinajpur, Bangladesh Open
The investigation was carried out in Rasulpur, Ramchandrapur and Mukundapur unions in Kaharole Upazila under Dinajpur district during July 2015 to June 2016 to determine the livelihood status of the relevant fish farmers, and to reveal the…
View article: Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables
Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables Open
In the statistical analysis of data, a model might be awfully fitted with the presence of outliers. Besides, it has been well established to use residuals for identification of outliers. The asymptotic properties of residuals can be utiliz…
View article: Modeling Bangladesh's gross domestic product using regression approach
Modeling Bangladesh's gross domestic product using regression approach Open
This study finds the factors that affect Bangladesh’s Gross Domestic Product (GDP) through regression approach. Stepwise and Ridge regression techniques have been applied to build the suitable regression model. Model adequacy also has been…
View article: A comparison of missing data handling methods in linear structural relationship model: evidence from BDHS2007 data
A comparison of missing data handling methods in linear structural relationship model: evidence from BDHS2007 data Open
Missing observations in dependent variable is a common feature in survey research. A number of techniques have been developed to impute missing data. In this article, we have evaluated the performance of several imputation methods namely m…
View article: Robust Stability Best Subset Selection for Autocorrelated Data Based on Robust Location and Dispersion Estimator
Robust Stability Best Subset Selection for Autocorrelated Data Based on Robust Location and Dispersion Estimator Open
Stability selection (multisplit) approach is a variable selection procedure which relies on multisplit data to overcome the shortcomings that may occur to single-split data. Unfortunately, this procedure yields very poor results in the pre…
View article: An Alternative Approach of Dual Response Surface Optimization Based on Penalty Function Method
An Alternative Approach of Dual Response Surface Optimization Based on Penalty Function Method Open
The dual response surface for simultaneously optimizing the mean and variance models as separate functions suffers some deficiencies in handling the tradeoffs between bias and variance components of mean squared error (MSE). In this paper,…