scholarly journals Time Trend and prediction of Grade 2 Disability among new cases of leprosy in Nepal: A Statistical Modelling

2014 ◽  
Vol 4 (3) ◽  
pp. 378-383 ◽  
Author(s):  
Brijesh Sathian ◽  
Ajay Kumar ◽  
Jayadevan Sreedharan ◽  
Indrajit Banerjee ◽  
Bedanta Roy ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Time Trends ◽  
Time Trend ◽  
Constant Term ◽  
Statistical Modelling ◽  
Inverse Model ◽  
Descriptive Statistics ◽  
Health Ministry ◽  
Data Points ◽  
Best Fit

Background  It is estimated that globally there are around 2 million people with grade 2 disabilities attributed to leprosy. Objective of the study was to find out the time trends of Grade 2 Disability among the new cases of Leprosy in Nepal. Materials and Methods A retrospective study was carried out on the data collected from the Health ministry records of Nepal, between 2009 and 2013. The annual reported numbers of Grade 2 Disability among new cases of leprosy plotted in y-axis against the corresponding year in the x-axis. Curve fitting, also known as regression analysis, was used to find the "best fit" line or curve for a series of data points. Linear, Logarithmic, Inverse, Quadratic, and Cubic were chosen to fit to the obtained curve. Descriptive statistics and statistical modelling were used for the analysis and forecasting of data. Results Including the constant term from the equation, the inverse model was the best fit, for the forecasting of the Grade 2 Disability among new cases of leprosy in Nepal [R2=0.739, p=0.062]. Using inverse model, it is estimated that 78 with CI [0, 170] of Grade 2 Disability among new cases of leprosy can be expected in Nepal by the year 2020. Conclusion Our study proves Inverse model is the best fit for epidemiological modelling of Grade 2 Disability among the new cases of Leprosy in Nepal. Prevention of disabilities should begin with diagnosing leprosy.DOI: http://dx.doi.org/10.3126/nje.v4i3.10668 Nepal Journal of Epidemiology 2014; 4(3): 378-383

scholarly journals Statistical Modelling and Forecasting of Reported HIV Cases in Nepal

1970 ◽  
Vol 1 (3) ◽  
pp. 106-110
Author(s):  
Brijesh Sathian ◽  
Jayadevan Sreedharan ◽  
Ankush Mittal ◽  
Suresh N Baboo ◽  
Nishida Chandrasekharan ◽  
...  
Keyword(s):  
Hiv Infections ◽  
Constant Term ◽  
Statistical Modelling ◽  
Healthcare Services ◽  
Cumulative Number ◽  
Cubic Equation ◽  
Cubic Model ◽  
Best Fit ◽  
Real State ◽  
Modelling And Forecasting

BackgroundThe real state about the spread of the HIV epidemic in Nepal is not clear since the details available are on the basis of risk group. The objective of the study is to extract as much as information possible from available data and find out the trends of HIV cases in future.Material and methodsA retrospective study was carried out on the data collected from the Health ministry records of Nepal, between 1988 and 2004. Descriptive statistics and statistical modelling were used for the analysis and forecasting of data.Results Excluding the constant term from the equation, the cubic model was the best fit, for the forecasting of HIV cases(p=0.001). NCASC reported cumulative number of HIV cases up to 2009 differs from our projected cases by 46 (99.99% accuracy in prediction). Using cubic equation, it is estimated that 4773 males, 2163 females and 6936 total reported number of HIV cases will be there in Nepal by the year 2015.ConclusionThe HIV cases in Nepal are having an increasing trend. Estimates of the total number of prevalent HIV infections attributable to the major routes of infection make an important contribution to public health policy. They can be used for the planning of healthcare services and for contributing to estimates of the future numbers with severe HIV infection used for planning health promotion programmes.Key words: Statistical Modelling; HIV; NepalDOI: http://dx.doi.org/10.3126/nje.v1i3.5570Nepal Journal of Epidemiology 2011;1(3) 106-110

scholarly journals A Study on Statistical Modelling on Recovery Informatics of Covid19

2020 ◽  
Author(s):  
Jaydip Datta
Keyword(s):  
Regression Analysis ◽  
Rate Constant ◽  
Standard Error ◽  
Model Equation ◽  
Antiviral Drug ◽  
Statistical Modelling ◽  
Scattered Data ◽  
Pearson Coefficient ◽  
Statistical Relevance ◽  
Best Fit

Abstract In this article the positive cases of Covid19 in India with effect from 7th September, 2020 to 25th October, 2020 are analysed for statistical relevance . The scattered data are used to find out a model equation correlating two variables number of recovered Covid –patient with an interval of regular seven days . The best fit regression analysis shows a significant correlation of Pearson coefficient (r) with standard error ( s ) with a second –order rate law .The rate constant (k) obtained from this model can be simulated to stability aspects of antiviral drug modelling like Remdesivir as an objective of this work .

An entropy concentration theorem: applications in artificial intelligence and descriptive statistics

1990 ◽  
Vol 27 (2) ◽  
pp. 303-313 ◽  
Author(s):  
Claudine Robert
Keyword(s):  
Artificial Intelligence ◽  
Maximum Entropy ◽  
Large Deviation ◽  
Maximum Entropy Principle ◽  
Statistical Modelling ◽  
Linear Constraints ◽  
Descriptive Statistics ◽  
Entropy Principle ◽  
Maximum Entropy Distribution ◽  
Mathematical Justification

The maximum entropy principle is used to model uncertainty by a maximum entropy distribution, subject to some appropriate linear constraints. We give an entropy concentration theorem (whose demonstration is based on large deviation techniques) which is a mathematical justification of this statistical modelling principle. Then we indicate how it can be used in artificial intelligence, and how relevant prior knowledge is provided by some classical descriptive statistical methods. It appears furthermore that the maximum entropy principle yields to a natural binding between descriptive methods and some statistical structures.

scholarly journals Measuring Values Importance of Saudi Consumers

2016 ◽  
Vol 8 (6) ◽  
pp. 115
Author(s):  
Saeed Badghish
Keyword(s):  
Saudi Arabia ◽  
Regression Analysis ◽  
Quantitative Study ◽  
Hospitality Industry ◽  
Online Survey ◽  
Education Level ◽  
Descriptive Statistics ◽  
Review Of The Literature ◽  
Demographic Differences ◽  
Demographic Profiles

<p>This study examines the priority of values affecting the behaviour of local consumers in the Saudi Arabian hospitality industry. The sample consists of Saudi nationals who have stayed in a hotel in Saudi Arabia. A review of the literature provides studies of values and demographic factors that could lead to differences in behaviour between gender (male vs female) and education (educated vs less-educated). There is currently little understanding of whether, or how, Saudis from different socio-cultural environments, represented in this study with different demographic profiles, differ in their values. This study considers whether there are any such differences linked to these demographic differences. The research uses a quantitative online survey based on established constructs of Kahle’s List of Values. Data were analysed in SPSS using descriptive statistics, independent samples <em>t</em>-tests, and regression analysis. This quantitative study finds that there are significant differences in the value of excitement, warm relationships with others, and fun and enjoyment were noted according to education level; also the value of self-fulfillment according to gender.</p>

scholarly journals PENGARUH KOMPENSASI TERHADAP KEPUASAN KERJA KARYAWAN PADA BAGIAN PRODUKSI DI PT. ETOWA PACKAGING INDONESIA

2018 ◽  
Vol 2 (1) ◽  
pp. 13-19
Author(s):  
Septerina Septerina ◽  
Rusda Irawati
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Data Collection ◽  
Multiple Regression Analysis ◽  
Descriptive Statistics ◽  
Questionnaire Data ◽  
Financial Compensation ◽  
Employee Job Satisfaction ◽  
Employees Satisfaction ◽  
Production Employee

Proper employee compensation will keep them motivated to improve their performance in a vigorous manner so that the results achieved from the job can give their employees satisfaction. This study aims to determine the effect of financial compensation on employee job satisfaction on the production in PT. Etowa Packaging Indonesia, to determine the effect of non-financial compensation on employee job satisfaction on the production at PT. Etowa Packaging Indonesia, and to know the influence of financial compensation and non-financial compensation simultaneously to job satisfaction of production employee at PT. Etowa Packaging Indonesia. The research design conducted by researchers is explanatory research. With a population of 253 respondents taken a sample of 171 respondents. The instrument of data collection used is observation and spreading of questionnaire. Data were analyzed using descriptive statistics and multiple regression analysis. The results stated that financial compensation and non financial compensation after tested partially or together significantly influence the employee job satisfaction in the production at PT. Etowa Packaging Indonesia.

scholarly journals Pengaruh Jaminan Kesehatan Kerja Dan Kompensasi Finansial Terhadap Motivasi Kerja Pegawai (Studi Pada Dinas Pemadam Kebakaran Dan Penanggulangan Bencana Kota Bandung)

2020 ◽  
Vol 2 (1) ◽  
pp. 41-47
Author(s):  
Lukman Hakim
Keyword(s):  
Regression Analysis ◽  
Health Insurance ◽  
Occupational Health ◽  
Human Resources ◽  
Research Method ◽  
Work Motivation ◽  
Fire Department ◽  
Descriptive Statistics ◽  
Increase Productivity ◽  
A Company

ABSTRACT: Human resources' existence plays a significant role in the success of a company, so many companies realize that human resources in the company can provide a competitive advantage. In the company of labor is the motor of the company, the assets of the company, which is an investment for a company to increase productivity. As a company asset, the welfare guarantee given by the company to workers or employees is an obligation that must be adjusted to their needs. Also, to realize the goals of the company, of course, there needs to be compensated as one of the motivations for employees In this study, the author used a research method based on descriptive statistics with a quantitative approach. The sample in this study consisted of 30 employees of the Bandung City Fire Department. The analysis used was multiple regression analysis. Based on the results of the study, it was found that the Occupational Health Insurance and Financial Compensation jointly had an effect of 85.8% on employee work motivation. The remaining 14.2% caused   ABSTRAK: Keberadaan sumber daya manusia memiliki peranan besar bagi kesuksesan sebuahperusahaan, sehingga banyak perusahaan menyadari bahwa unsur manusia dalam perusahaan itu dapat memberikan keunggulan daya saing. Di dalam perusahaan tenaga kerja merupakan motor penggerakperusahaan, aset perusahaan yang merupakan investasi bagi suatu perusahaan untuk meningkatkan pruduktivitas. Sebagai aset perusahaan, maka jaminan kesejahteraan yang diberikan oleh perusahaan terhadap buruh atau karyawan adalah kewajiban yang harus disesuaikan dengan kebutuhannya. Selain itu guna mewujudkan tujuan perusahaan, tentu perlu adanya kompensasisebagai salah satu motivasi bagi para karyawan Dalam penelitian ini Penulis menggunakan metode penelitian berdasarkan statistik deskriptif dengan pendekatan kuantitatif, sample dalam penelitian ini sebanyak 30orang pegawai Dinas Pemadam Kebakaran Kota Bandung, analisis yang digunakan yaitu analisis regresi berganda. Berdasarkan hasil penelitian diketahui Jaminan Kesehatan Kerja Dan Kompensasi Finansial secara bersama-sama berpengaruh sebesar 85,8% terhadap motivasi kerja pegawai. Adapun sebesar 14,2% sisanya disebabkan oleh variabel-variabel lain diluar variabel tersebut yang tidak dilibatkan dalam penelitian ini.

scholarly journals Evaluating Competition Constraint on Land Accessibility by Urban Crop Farmers in Lagos

2017 ◽  
Vol 1 (1) ◽  
pp. 90-98
Author(s):  
C. O. Odudu
Keyword(s):  
Regression Analysis ◽  
Agricultural Development ◽  
Missing Values ◽  
Linear Regression Analysis ◽  
Descriptive Statistics ◽  
Marginal Lands ◽  
Farming Communities ◽  
Multi Stage ◽  
Crop Farming ◽  
Lagos State

The study evaluated the constraint of competition on urban crop farming in Lagos with a view to identifying issues that must be resolved to facilitate practitioners’ land accessibility in the metropolis. Crop farmers in seven out of ten communities where urban crop farming was found to be thriving within the metropolis were selected through multi-stage sampling which involved both purposive and simple random samplings and were administered with structured questionnaires. All the farming communities were delineated by the Lagos State Agricultural Development Authority (LSADA). Data collected were analysed using descriptive statistics while linear regression analysis was used to test the formulated research hypothesis. The study showed that farmers were forced out (19.5%) of their locations, 10.3% vacated voluntarily, 1.4% left due to high rents, 2.9% unidentified and 67.8% were missing values. Urban farmers in the study area were, however, found not to be affected by competition and high rents as they were occupying marginal lands that did not attract other competing uses. The regression analysis showed that competition constraint accounted for 3.5% of farmers’ productivity establishing that competition with other uses significantly affected urban farmers’ productivity as they were consigned to marginal lands. The study therefore concluded that government should support/promote the activity by providing agricultural lands in designated areas of the metropolis for urban farming.

scholarly journals Dana Desa dan Status Desa di Provinsi Jawa Tengah

2020 ◽  
Vol 4 (2) ◽  
pp. 74-83
Author(s):  
Yulitasari Yulitasari ◽  
Wido Prananing Tyas
Keyword(s):  
Regression Analysis ◽  
Secondary Data ◽  
Descriptive Statistics ◽  
Central Java ◽  
The Relationship ◽  
Central Java Province ◽  
Simple Regression

Village Funds and Village Status in Central Java Province Year 2019 is the fifth year of implementation of village fund in Indonesia. At the beginning of its implementation in 2015, village funds were budgeted at IDR 20.8 trillion, which has increased to 3.5 times and reaching about IDR 70 trillion in 2019. This research is aimed to describe village funds and villages status in Central Java Province and the relationship between them. Data to be used are secondary data consisting of village funds and village status according to IDM year 2018 and 2019 in Central Java Province. The analyses used in this research are descriptive statistics and simple regression. Results show that village funds in Central Java Province increase about 14.7% in 2019 and there is an increase in the aggregate of village status. Regression analysis showed that changes in the amount of village funds did not significantly affect the change of village status in Central Java Province.

scholarly journals A Sector Wise Influence of Equity Ownership Holding on the Corporate Debt Policy- An Empirical Analysis

2010 ◽  
Vol 9 (2) ◽  
pp. 50-58
Author(s):  
R. Shunmughan ◽  
Sengottuvel E.P.
Keyword(s):  
Regression Analysis ◽  
Empirical Analysis ◽  
Significant Relationship ◽  
Descriptive Statistics ◽  
Corporate Debt ◽  
Power Sector ◽  
Equity Ownership ◽  
Debt Policy

This paper aims to analyse the effect of equity ownership holding pattern on the corporate debt policy under a sector wise classification. The study uses a sample of thirty six firms in the construction of BSE- 200 index during the period 1999-2009. The study has used Regression analysis and Descriptive statistics to quantify the argument. This paper finds a significant relationship between debt policy and public holding pattern in all the sectors. Promoters holding show insignificant relation for the Transport and Power sector.

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