METHODS OF ESTIMATING NON-RESPONSE OF MULTI-AUXILIARY INFORMATION WITH APPLICATION
Journal Title: International Journal of Applied Mathematics & Statistical Sciences - Year 2018, Vol 7, Issue 4
Abstract
Sampling methods are often accompanied by sampling errors in collecting data. They have associated with the design the chosen sample which can be handled in some way or another based on theoretically known styles in this field or by using the comprehensive census type. However, the people concerned with preparing and implementing statistical work face non-random errors. Which are not less dangerous than errors connected with sampling method. Whether what has been chosen partially of the population or by containing all items. These non-random errors weaken the collected data efficiency. Because it is difficult to discover or to know: That is due to non-technical methods to handle them. In this paper focuses on the estimation of non-response of multi-auxiliary information of a finite population and infinite population. A comparison study is made between three methods of estimation using the multi-auxiliary information; these methods are multi-mean imputation, multi-ratio method of imputation and multi-power transformation method of imputation, through a randomized response technique. The relative efficiency was used to conclude the best methods by using empirically study (real data and simulation).
Authors and Affiliations
Hisham Mohamed Almongy, Ehab Mohamed Almetwaly
Keywords
Related Articles
- EP ID EP354944
- DOI -
- Views 112
- Downloads 0
Comparison of Multivariate Exponentially Weighted Moving Average and 23 Generalized Variance |;|Procedures with Industrial Application
In this paper, comparing between two procedures: Multivariate Exponentially Weighted Moving Average (MEWMA) quality control chart and Generalized Variance || quality control chart. The first procedure MEWMA is an exampl...
Comparison on Infected Wound Healing Time Using Coffee Powder and Honey in Wistar Rat
Background: Wound infections are the most possible complication, if a wound is not treated properly. The most common microorganism that causes wound infections is, Staphylococcus aureus. Antimicrobial resistance is risin...
NOVEL PROBIOTIC- A COMMENSAL ENERGY BOOSTER
About 38% of world population will be affected by cancer at some point in their lifetime. People affected by cancer experience muscle weakness and physical stress because their intake of food is reduced and they don't ge...
Smart Diabetic Assessment System for Diabetic Retinopathy using Retinal Image Examination
Diabetic Retinopathy (DR) is the main cause of blindness in the world. Smart diabetic assessment System showing is suitable tool for Early Treatment of Diabetic Retinopathy Study (ETDRS) for diabetic retinopathy using re...
THERAPEUTIC EFFICACY OF KATHAKAKHADIRADI KASHAYAM, TRIPHALA, AND NISHAMALAKI IN THE TREATMENT OF STREPTOZOTOCIN INDUCED DIABETIC ALBINO RATS
The present study explores the effectiveness of Ayurvedic Drugs such as Kathakakhadiradi kashayam, Triphala, Nishamlaki in the treatment of Diabetes when compared with an Allopathic drug (glimepiride) in streptozotocin-...