Ordinary Least Squares Regression Method Approach for Site Selection of Automated Teller Machines (ATMs)

Procedia Environmental Sciences ◽

10.1016/j.proenv.2015.05.026 ◽

2015 ◽

Vol 26 ◽

pp. 66-69 ◽

Cited By ~ 13

Author(s):

Kübra Bilginol ◽

Hayri Hakan Denli ◽

Dursun Zafer Şeker

Keyword(s):

Least Squares ◽

Site Selection ◽

Ordinary Least Squares ◽

Regression Method ◽

Least Squares Regression ◽

Ordinary Least Squares Regression ◽

Automated Teller Machines ◽

Method Approach ◽

Selection Of

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Predicting predictive accuracy :||performance of fixed-weight decision models compared to ordinary least squares regression

10.32469/10355/44715 ◽

2013 ◽

Author(s):

Nicholas Robert Brown

Keyword(s):

Least Squares ◽

Predictive Accuracy ◽

Ordinary Least Squares ◽

Decision Models ◽

Least Squares Regression ◽

Ordinary Least Squares Regression ◽

Fixed Weight ◽

Accuracy Performance

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Algorithm and BASIC program for ordinary least-squares regression in two and three dimensions

Open-File Report ◽

10.3133/ofr78876 ◽

1978 ◽

Author(s):

G.R. Olhoeft

Keyword(s):

Least Squares ◽

Ordinary Least Squares ◽

Basic Program ◽

Three Dimensions ◽

Least Squares Regression ◽

Ordinary Least Squares Regression

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PMD1 COMPARISON OF GENERALIZED LINEAR MODELS AND ORDINARY LEAST-SQUARES REGRESSION FOR COST ESTIMATION

Value in Health ◽

10.1016/s1098-3015(10)62314-5 ◽

2004 ◽

Vol 7 (3) ◽

pp. 300-301

Author(s):

DA Ollendorf ◽

A Pedan

Keyword(s):

Least Squares ◽

Generalized Linear Models ◽

Cost Estimation ◽

Linear Models ◽

Ordinary Least Squares ◽

Least Squares Regression ◽

Ordinary Least Squares Regression

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Ordinary Least-Squares Regression

The Multivariate Social Scientist ◽

10.4135/9780857028075.d49 ◽

2011 ◽

pp. 56-113 ◽

Cited By ~ 3

Keyword(s):

Least Squares ◽

Ordinary Least Squares ◽

Least Squares Regression ◽

Ordinary Least Squares Regression

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Methodological rigor of ordinary least squares regression studies in mainstream marketing: An assessment of research reported in the Journal of Marketing

Advances in International Marketing - New Challenges to International Marketing ◽

10.1108/s1474-7979(2009)0000020017 ◽

2009 ◽

pp. 389-418

Author(s):

Z. Seyda Deligonul ◽

Brian R. Chabowski ◽

Steven H. Seggie ◽

Shichun Xu ◽

S. Tamer Cavusgil

Keyword(s):

Least Squares ◽

Ordinary Least Squares ◽

Least Squares Regression ◽

Ordinary Least Squares Regression ◽

Methodological Rigor

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Good work, but ordinary least squares regression is almost a straw-man

10.5194/amt-2016-289-rc1 ◽

2016 ◽

Author(s):

Anonymous

Keyword(s):

Least Squares ◽

Ordinary Least Squares ◽

Good Work ◽

Least Squares Regression ◽

Ordinary Least Squares Regression

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Is there a viable alternative to ordinary least squares regression when security abnormal returns are the dependent variable?

Review of Quantitative Finance and Accounting ◽

10.1007/s11156-007-0079-y ◽

2007 ◽

Vol 32 (1) ◽

pp. 17-31 ◽

Cited By ~ 5

Author(s):

Imre Karafiath

Keyword(s):

Least Squares ◽

Abnormal Returns ◽

Ordinary Least Squares ◽

Viable Alternative ◽

Least Squares Regression ◽

Ordinary Least Squares Regression

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Erratum to: Using the Criterion-Predictor Factor Model to Compute the Probability of Detecting Prediction Bias with Ordinary Least Squares Regression

Psychometrika ◽

10.1007/s11336-013-9345-1 ◽

2013 ◽

Vol 78 (3) ◽

pp. 554-555

Author(s):

Steven Andrew Culpepper

Keyword(s):

Least Squares ◽

Factor Model ◽

Ordinary Least Squares ◽

Least Squares Regression ◽

Ordinary Least Squares Regression ◽

Prediction Bias ◽

Predictor Factor

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Estimation of the optimal hedge ratio, expected utility, and ordinary least squares regression

Journal of Futures Markets ◽

10.1002/fut.3990110508 ◽

1991 ◽

Vol 11 (5) ◽

pp. 603-612 ◽

Cited By ~ 11

Author(s):

John Heaney ◽

Geoffrey Poitras

Keyword(s):

Least Squares ◽

Expected Utility ◽

Ordinary Least Squares ◽

Least Squares Regression ◽

Ordinary Least Squares Regression ◽

Hedge Ratio ◽

Optimal Hedge

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Effect of Interest Rate Determinants on the Aggregate Performance of Deposit Money Banks in Nigeria’s Banking Sector

International Journal of Finance & Banking Studies (2147-4486) ◽

10.20525/ijfbs.v6i6.849 ◽

2018 ◽

Vol 6 (6) ◽

pp. 29

Author(s):

Oluwarotimi Ayokunnu Owolabi ◽

Ibukun Omoshola Fayemi

Keyword(s):

Monetary Policy ◽

Interest Rate ◽

Least Squares ◽

Ordinary Least Squares ◽

T Test ◽

Bank Performance ◽

Least Squares Regression ◽

Ordinary Least Squares Regression ◽

Paired Samples ◽

Significant Difference

This study explores the effect of selected interest rate determinants and their significance on the performance of Deposit money banks in Nigeria, and whether the determinants are significantly different between High performance and low performance periods, over the period of 1998 to 2015. Multivariate ordinary least squares regression and paired samples t-test were employed in performing the study. The findings of Multivariate ordinary least squares regression revealed that exchange rate has a positive and statistically significant effect on deposit money bank performance, Monetary policy rate and Credit Risk have a negative and statistically significant effect on deposit money bank performance , while Inflation rate and savings deposit rate have a statistically insignificant effect on deposit money bank performance. Results of paired samples t-test revealed significant difference in means of determinants. The study recommends Naira devaluation and reduction of monetary policy rate amongst other recommendations to boost bank performance in Nigeria

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