Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userExtreme Residuals in Logistic Regression Model
البواقي المتطرفة في نموذج انحدار اللوجستك
480
0 2
0
(
0
)
Added by
Damascus University ورقة بحثية
Publication date
2000
fields
Economy
and research's language is
العربية
Created by
Shamra Editor
Ask ChatGPT about the research
إنَّ الهدف الرئيسي من هذا البحث هو الحصول على البواقي المتطرفة من خلال اعتماد صيغتين: الأولى هي الصيغة الاعتيادية للبواقي، و الثانية هي الصيغة المعدلة و المشتقة من قبل (بيرسون). حُصِل على هذه البواقي من خلال توفيق نموذج اللوجستك و تطبيق طرق التقدير الأربع.
The main objective of this paper is to obtain the extreme residuals based on two different ways. The first is the ordinary residuals and the second is the modified Pearson residuals. These two kinds of residuals are obtained through the above mentioned four methods of estimation.
References used
Aitchison J. and Silvey R. (1957) “The generalization of probit to the case of multiple response”. Biometrika; 44, 13 1-140
Aldrich J. H and Nelson F. D. (1985) “Linear probability logit and probit models” Sage publication Inc. USA
Al-Sarraf and Young, D. H. (1985) Properties of estimators of parameters in logistic regression models. Technical Report TR 105185, Departement of Mathematics and statistics, Brunel University
rate research
Read More
In this research ,we studied the problem of multicollinearity among
independent variables in the multiple regression model this matter
leads to a mistake in one of the essential conditions of the multiple
regression model and getting incorrect res
ults.
At the beginning we have introduced documented theoretical study
of the kinds of the multicollinearity and of the reasons of the
problem of the multiple regression model and some methods to
discover them.
In addition to this we mentioned some methods that treat the cases of
multiple regression model then we introduced a new method to treat
multicollineartiy and apply it to an example .
In this method we have dealt with multicollinearity on the hand and
solved the problem of discrepancy between the significant of the
regression model and the non-significant of one or more coefficient.
This study was conducted to use regression equations as indirect methods to
estimate amounts of meat and fat in broiler carcasses of Arbor-Akroz hybrid.
Sixty broiler birds (٣٠ male and ٣٠ female) aged ٤٩ days and reared at a
private farm were use
d . The length of (truck, neck sternum, head, tibia.
lemur, libula, rumb), the width of (head, intervel between iliums, chest,
abdomen), circumference of (thigh, tibia) the high of head and chest and depth
of chest were measured before slaughtering. Birds were slaughtered, cooled for
٢٤ haurs, weighted before and after cooling and the above measure merits
were repeated after slaughtering. Carcasses were dissected and weights of
muscles in the chest, thigh and hypo thigh, amount of fat in the abdominal
cavity and weight of heart and the head were recorded .
This paper describes our contribution to SemEval 2021 Task 1 (Shardlow et al., 2021): Lexical Complexity Prediction. In our approach, we leverage the ELECTRA model and attempt to mirror the data annotation scheme. Although the task is a regression ta
sk, we show that we can treat it as an aggregation of several classification and regression models. This somewhat counter-intuitive approach achieved an MAE score of 0.0654 for Sub-Task 1 and MAE of 0.0811 on Sub-Task 2. Additionally, we used the concept of weak supervision signals from Gloss-BERT in our work, and it significantly improved the MAE score in Sub-Task 1.
The real estate valuation is the process of estimating the real estate
price based on the real estate description and property features .
The aim of this research is to define the main variables and study
their effects on defining the price of the
residential real estates in
Damascus, hence to build a mathematical model based on Multiple
Regression Analysis method for the valuation of these Real Estates
Data on 130 residential real estates in Damascus were collected
and analyzed using the SPSS package .
The Analyses have revealed that it is possible to rely on the
Multiple Regression Analyses model to estimate the price of the
real estate but only after defining and testing its shortcomings and
transforming the model into Multiple – Non linear Regression
model .
This research concluded that the relationship between the price of
the real estate and the studied variables is nonlinear .
The problem of outliers values is considered one of the important
objects that affect the estimation of statistical intermediaries
specially regression model intermediaries.
We have tried in this research to introduce a comprehensive study
Of the
outliers and some ways of exploring and treating them.
In addition to , we have put anew algorithm that helps to find the
estimation of the outliers.
This matter helps in treating outliers and getting exact results in
regression analysis.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
