Detection of owner‐perceived emotional eating in companion dogs: A regression modelling approach

2021 ◽  
Author(s):  
Isabel Luño ◽  
Ana Muniesa ◽  
Jorge Palacio ◽  
Sylvia García‐Belenguer ◽  
Belén Rosado
Keyword(s):  
Emotional Eating ◽  
Companion Dogs ◽  
Regression Modelling ◽  
Modelling Approach

Estimation of Air Pollution Using Regression Modelling Approach for Mumbai Region, Maharashtra, India

2020 ◽  
pp. 229-247
Author(s):  
Maya Kumari ◽  
Shivangi S. Somvanshi ◽  
Syed Zubair
Keyword(s):  
Air Pollution ◽  
Regression Modelling ◽  
Modelling Approach

scholarly journals Factors influencing unmet need for family planning among Ghanaian married/union women: a multinomial mixed effects logistic regression modelling approach

2019 ◽  
Vol 77 (1) ◽  
Author(s):  
Chris Guure ◽  
Ernest Tei Maya ◽  
Samuel Dery ◽  
Baaba da-Costa Vrom ◽  
Refah M. Alotaibi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Family Planning ◽  
Unmet Need ◽  
Mixed Effects ◽  
Regression Modelling ◽  
Factors Influencing ◽  
Logistic Regression Modelling ◽  
Modelling Approach

scholarly journals Application of agglomerative hierarchical clustering and logistic model development for assessing solar energy acceptability as an alternate energy option

2021 ◽  
Vol 7 (1) ◽  
pp. 103-112
Author(s):  
Koyejo Oduola ◽  
Zorbarile Atukomi
Keyword(s):  
Logistic Regression ◽  
Solar Energy ◽  
Energy Management ◽  
Energy Management System ◽  
Management Option ◽  
Efficient Energy ◽  
Regression Modelling ◽  
Study Population ◽  
Logistic Regression Modelling ◽  
Modelling Approach

This paper is focused on the assessment of acceptability of solar energy as an alternate efficient energy management option using Agglomerative Hierarchy Cluster (AHC) and logistic regression modelling approach. The study population includes randomly selected shop-owners and residential occupants within the Port Harcourt city in Rivers State, Nigeria. The collected data sets were subjected to AHC analysis using a statistical package XLSTAT 2016 version 4.6. The central object identified from the application of AHC with respect to the sampled shop-owners and residential occupants as pertaining to the acceptability of solar energy as an alternate efficient energy management option was centered around the financial implication of energy generation and the political influence of the government solar energy policies for energy generation. Finally, logistic regression modelling approach was applied into developing a predictive model for the probability of general acceptance (variable ‘yes’) of solar energy as an effective energy management system. From the developed model the chance of acceptance of a solar energy management system is 1% with 59.5% rejection from the study population while it is 99% with an unawareness level of 40.51% from the study population.

scholarly journals Prediction of fillet fatty acid composition of market-size gilthead sea bream (Sparus aurata) using a regression modelling approach

Aquaculture ◽  
2011 ◽  
Vol 319 (1-2) ◽  
pp. 81-88 ◽  
Author(s):  
Gabriel F. Ballester-Lozano ◽  
Laura Benedito-Palos ◽  
Juan C. Navarro ◽  
Sadasivam Kaushik ◽  
Jaume Pérez-Sánchez
Keyword(s):  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Sparus Aurata ◽  
Gilthead Sea Bream ◽  
Sea Bream ◽  
Market Size ◽  
Regression Modelling ◽  
Modelling Approach

Multiple regression modelling approach for rainfall prediction using large-scale climate indices as potential predictors

2017 ◽  
Vol 11 (3) ◽  
pp. 209 ◽  
Author(s):  
H.M. Rasel ◽  
Monzur Alam Imteaz ◽  
Fatemeh Mekanik
Keyword(s):  
Multiple Regression ◽  
Large Scale ◽  
Climate Indices ◽  
Rainfall Prediction ◽  
Regression Modelling ◽  
Modelling Approach

A regression modelling approach for optimizing segmentation scale parameters to extract buildings of different sizes

2017 ◽  
Vol 39 (3) ◽  
pp. 684-703 ◽  
Author(s):  
Shahab E. Jozdani ◽  
Mehdi Momeni ◽  
Brian A. Johnson ◽  
Mehran Sattari
Keyword(s):  
Scale Parameters ◽  
Regression Modelling ◽  
Modelling Approach

Emotional eating in companion dogs: Owners' perception and relation with feeding habits, eating behavior, and emotional state

2018 ◽  
Vol 25 ◽  
pp. 17-23 ◽  
Author(s):  
Isabel Luño ◽  
Jorge Palacio ◽  
Sylvia García-Belenguer ◽  
Ángela González-Martínez ◽  
Belén Rosado
Keyword(s):  
Eating Behavior ◽  
Emotional Eating ◽  
Emotional State ◽  
Feeding Habits ◽  
Companion Dogs

Multiple regression modelling approach for rainfall prediction using large-scale climate indices as potential predictors

2017 ◽  
Vol 11 (3) ◽  
pp. 209
Author(s):  
Fatemeh Mekanik ◽  
Monzur Alam Imteaz ◽  
H.M. Rasel
Keyword(s):  
Multiple Regression ◽  
Large Scale ◽  
Climate Indices ◽  
Rainfall Prediction ◽  
Regression Modelling ◽  
Modelling Approach

scholarly journals ARE THE FINANCIAL SERVICES’ CUSTOMERS TRULY LOYAL? AN INVESTIGATION IN THE PORTUGUESE PRIVATE BANKING SECTOR

2016 ◽  
Vol 4 (1) ◽  
pp. 89
Author(s):  
José De Sousa Martins ◽  
Arnaldo Fernandes Matos Coelho
Keyword(s):  
Financial Services ◽  
Banking Sector ◽  
Psychological Variables ◽  
Regression Modelling ◽  
Private Banks ◽  
Main Driver ◽  
Private Banking ◽  
Main Banks ◽  
Structured Questionnaire ◽  
Modelling Approach

This study aims at understanding how loyalty is formed and which variables contribute the most to build strong and stable relationships with customers. This research is based on a sample of 403 customers of private banks in Northern Portugal. Data collection was made using structured questionnaire, applied directly to these customers. A Multiple Linear Regression modelling approach was adopted to assess the proposed hypothesis. The results of this investigation show that the relationships between customers and their main banks seem to be based on a more transactional logic. It is based on the perceived value and the switching costs, and satisfaction remains as the main driver. Nevertheless, there seems to be room for further exploitation of the psychological variables such as emotions, once they have shown an important role on satisfaction.

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