Conjugation Energy

1952 ◽  
Vol 5 (2) ◽  
pp. 339
Author(s):  
RD Brown
Keyword(s):  
Least Squares ◽  
Overlap Integral ◽  
Alternative Method ◽  
Conjugation Energy ◽  
The Relationship

The relationship between conjugation energies and self-atom-polarizabilities, previously derived from certain approximate theoretical relationships, is obtained in a more accurate form by an empirical least-squares calculation. An analogous relationship is also derived from calculating conjugation energies when the overlap integral is taken into account. A tabulation of all relevant polarizability data from the literature is presented, and a method of extending the data to larger molecules is described and exemplified. A possible alternative method of deriving conjugation energies is briefly discussed.

Statistical characterization of the random errors in the radioimmunoassay dose--response variable.

1976 ◽  
Vol 22 (3) ◽  
pp. 350-358 ◽  
Author(s):  
D Rodbard ◽  
R H Lenox ◽  
H L Wray ◽  
D Ramseth
Keyword(s):  
Least Squares ◽  
Dose Response ◽  
Curve Fitting ◽  
Response Curve ◽  
Dose Response Curve ◽  
Random Errors ◽  
Statistical Characterization ◽  
Response Variable ◽  
Least Squares Curve Fitting ◽  
The Relationship

Abstract We have developed practical methods for evaluating the magnitude of the random errors in radioimmunoassay dose--response variables, and the relationship between this error and position on the dose--response curve. This is important: to obtain appropriate weights for each point on the dose--response curve when utilizing least-squares curve-fitting methods; to evaluate whether the standards and the unknowns are subject to error of the same magnitude; for quality-control purposes; and to study the sources of errors in radioimmunoassay. Both standards and unknowns in radioimmunoassays for cAMP and cGMP were analyzed in triplicate. The same mean (Y), sample standard deviation, sy, and variance (2-y) of the response variable were calculated for each dose level. The relationship between s 2-y and y was calculated utilizing several models. Results for standards and unknowns from several assays were pooled, and a curve smoothing procedure was used to minimize random sampling errors. This pooling increased the reliability of the analysis, and confirmed the presence of the theoretically predicted nonuniformity of variance. Thus, the calculation of results from these radioimmunoassays should utilize a weighted least-squares curve-fitting program. These analyses have been computerized, and can be used as a "pre-processor" for programs for routine analysis of results of radioimmunoassay.

scholarly journals Can One Promote a Delegation of the Bilateral Aid to Multilateral Donors to Improve Foreign Aid Effect on Economic Growth in ECOWAS (Note 1) Countries?

2019 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
W. Jean Marie Kébré
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Least Squares ◽  
Foreign Aid ◽  
Bilateral Aid ◽  
Multilateral Aid ◽  
Multilateral Institutions ◽  
Negative Effect ◽  
High Degree ◽  
The Relationship

<p><em>This article analyzes the relationship between external aid and economic growth in the ECOWAS region, with a focus on bilateral and multilateral aid effects. The key idea behind this analysis is an argument of Svensson</em><em> </em><em>(2000)</em><em> that multilateral aid is more effective than bilateral aid because of the high degree of altruism of bilateral donors. He therefore suggested a delegation of bilateral aid to multilateral institutions. To appreciate his suggestion, this analysis used panel data from the 16 ECOWAS countries from the period 1984 to 2014. The results of the estimates, based on the dynamic least squares estimator (DOLS), show a negative effect of foreign aid on economic growth. This negative effect on economic growth persists when the components of aid are introduced into the model. In addition, results highlight that governance is a channel through which foreign aid affect positively economic growth. In these conditions, bilateral aid is more effective on economic growth than multilateral aid. These results about foreign aid received by ECOWAS countries invalidates</em><em> </em><em>Svensson’s</em><em> </em><em>(</em><a title="Svensson, 2000 #5" href="#_ENREF_1"><em>2000</em></a><em>)</em><em> theory. Therefore, a delegation of bilateral aid to multilateral institutions is not relevant because bilateral aid contributes more to economic growth if governance is taken into account.</em></p>

scholarly journals Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB

2014 ◽  
Vol 5 (2) ◽  
pp. 810
Author(s):  
Rokhana Dwi Bekti ◽  
David David ◽  
Gita N ◽  
Priscillia Priscillia ◽  
Serlyana Serlyana
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Two Stage ◽  
Two Stage Least Squares ◽  
Regional Product ◽  
The Relationship ◽  
Simultaneous Model

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.

scholarly journals The effect of soft skills, ethics, and value on the willingness of employers to continue recruiting UMT graduates

2021 ◽  
pp. 1689-1698
Author(s):  
Abdul Hafaz Ngah ◽  
Nurul Izni Kamalrulzaman ◽  
Fauzayani Ibrahim ◽  
Noor Azuan Abu Osman ◽  
Nur Asma Ariffin
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Survey Data ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Online Survey ◽  
Soft Skills ◽  
Moderating Effect ◽  
Equation Modelling ◽  
The Relationship

This study aims to investigate the effect of soft skills and ethics and value on the employers’ willingness to continue recruiting Universiti Malaysia Terengganu (UMT) graduates, together with the moderating effect of knowledge on the relationship between soft skills and the employers’ willingness to continue recruiting UMT graduates. The study’s respondents comprised of 208 employers in Malaysia who responded through an online survey using Google Forms. The survey data was then analyzed using the Partial Least Squares Structural Equation Modelling (PLS-SEM), indicating that soft skills positively affected the employers’ willingness to continue recruiting UMT graduates. Nevertheless, ethics and value were found to be insignificant factors on the employers’ willingness to continue recruiting UMT graduates. It was also revealed that knowledge had the moderating effect on the relationship between soft skills and the employers’ willingness to continue recruiting UMT graduates. Therefore, universities were recommended to invest in soft skills and knowledge education to ensure that graduates met the employers’ professional recruitment standards in areas of expertise.

scholarly journals Econometric Analysis of Dynamics of Personnel Training in Tourism Sphere

2021 ◽  
Vol 12 (6) ◽  
pp. 1389-1396
Author(s):  
Anar Eminov Et al.
Keyword(s):  
Least Squares ◽  
Statistical Data ◽  
Least Squares Method ◽  
Tourism Industry ◽  
Econometric Analysis ◽  
Steady Increase ◽  
Foreign Nationals ◽  
Tourism Sector ◽  
Analysis Of Dynamics ◽  
The Relationship

According to the statistical data of recent years, tourism has been one of the ever-growing sectors in Azerbaijan. Thus, in the last five years, there has been a steady increase in the number of entrepreneurship subjects serving tourism in Azerbaijan and the number of foreign nationals traveling for tourism, correspondingly 4.5 and 8.5 percent. At present, the direct share of the tourism industry in the country's GDP and employment is 4.5 and 3.3 percent, respectively. In the article econometric analysis of the dependence on the relationship between tourism industry graduates and their development has been done. The regression equation of the dependence of the number of graduates studying tourism on the number of tourists in the country and the dependence of the tourism sector’s GDP on the number of graduates in the tourism sector were estimated using the Eviews software based on 2008–2017 statistical data using the least squares method.

Financial disclosure and performance of microfinance institutions

2014 ◽  
Vol 10 (3) ◽  
pp. 314-337 ◽  
Author(s):  
Shakil Quayes ◽  
Tanweer Hasan
Keyword(s):  
Financial Performance ◽  
Least Squares ◽  
Least Squares Method ◽  
Financial Disclosure ◽  
Microfinance Institutions ◽  
Content Type ◽  
Three Stage Least Squares ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to analyze the relationship between financial disclosure and the financial performance of microfinance institutions (MFIs). Design/methodology/approach – The paper utilizes ordinary least squares method to analyze the impact of disclosure on financial performance, an ordered probit model to investigate the possible effect of financial performance on disclosure and utilizes a three-stage least squares method to delineate the endogenous relationship between disclosure and financial performance of MFIs. Findings – The paper finds that better disclosure has a statistically significant positive impact on operational performance of MFIs; second, it also shows that improved financial performance results in better financial disclosure. Keeping the endogenous nature of the relationship between disclosure and performance, the paper uses a three-stage least squares method to show that disclosure and financial performance positively affect each other simultaneously. Research limitations/implications – The paper attempts to delineate a positive association between better disclosure on financial performance of MFIs, which can be used for developing a better disclosure policy by management, formulating more effective guidelines for disclosure by the stakeholders and mandating more appropriate laws and uniform disclosure practice by regulators. Originality/value – This is the first study that uses a large number of MFIs from 75 countries; second, it uses a uniform scale of designating a disclosure rating (assigned by MIX Market) to show the relationship between disclosure and performance. Finally, it uses three-stage least squares method to address the possible endogeneity between disclosure and performance.

scholarly journals The Impact of Entrepreneurial Orientation on Spin-Offs’ Performance: A Cross-Cultural Study

SAGE Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 215824401986581 ◽  
Author(s):  
Mariem Khadhraoui ◽  
Michel Plaisent ◽  
Lassaad Lakhal ◽  
Bernard Prosper
Keyword(s):  
Social Sciences ◽  
Least Squares ◽  
Cultural Study ◽  
Entrepreneurial Orientation ◽  
Cross Cultural ◽  
Cross Cultural Study ◽  
Three Samples ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Previous studies considered entrepreneurial orientation as a determinant of firms’ growth and performance. In this research, we are interested in spin-offs. Indeed, we aim to study the relationship between their entrepreneurial orientation and their performance. Therefore, we carried out a cross-cultural study in three different countries; Tunisia, Canada, and Morocco. We opted for a personal survey. We addressed our questionnaire to 180 managers of spin-offs and we analyzed the research variables using SPSS 20.00 (Statistical Packages for Social Sciences) and Smart PLS 3 (Partial Least Squares). Our findings highlight a positive correlation between entrepreneurial orientation and performance of spin-offs within the three samples.

scholarly journals The human capital–economic growth nexus in SSA countries: what can strengthen the relationship?

2020 ◽  
Vol 47 (9) ◽  
pp. 1143-1159
Author(s):  
Roseline Tapuwa Karambakuwa ◽  
Ronney Ncwadi ◽  
Andrew Phiri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
African Countries ◽  
Content Type ◽  
Econometric Approach ◽  
The Impact ◽  
The Relationship ◽  
Ssa Countries

PurposeThe purpose of this study is to examine the impact of human capital on economic growth for a selected sample of nine SSA countries between 1980 and 2014 using a panel econometric approach.Design/methodology/approachThe authors estimate a log-linearized endogenous using the fully modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (POLS) applied to our panel data time series.FindingsThe empirical analysis shows an insignificant effect of human capital on economic growth for our selected sample. These findings remain unchanged even after adding interactive terms to human capital, which are representatives of government spending as well as foreign direct investment. Nevertheless, the authors establish a positive and significant effect of the interactive term between urbanization and human capital on economic growth.Practical implicationsThe results emphasize the need for African policymakers to develop urbanized, “smart”, technologically driven cities within the SSA region as a platform toward strengthening the impact of human capital-economic growth relationship.Originality/valueThis study becomes the first in the literature to validate the human capital–urbanization–growth relationship for African countries.

scholarly journals On the Geometric Mean Method for Incomplete Pairwise Comparisons

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1873
Author(s):  
Konrad Kułakowski
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Geometric Mean ◽  
Computational Method ◽  
Pairwise Comparisons ◽  
Similar Relationship ◽  
Final Solution ◽  
The Difference ◽  
The Relationship ◽  
Theoretical Considerations

One of the most popular methods of calculating priorities based on the pairwise comparisons matrices (PCM) is the geometric mean method (GMM). It is equivalent to the logarithmic least squares method (LLSM), so some use both names interchangeably, treating it as the same approach. The main difference, however, is in the way the calculations are done. It turns out, however, that a similar relationship holds for incomplete matrices. Based on Harker’s method for the incomplete PCM, and using the same substitution for the missing entries, it is possible to construct the geometric mean solution for the incomplete PCM, which is fully compatible with the existing LLSM for the incomplete PCM. Again, both approaches lead to the same results, but the difference is how the final solution is computed. The aim of this work is to present in a concise form, the computational method behind the geometric mean method (GMM) for an incomplete PCM. The computational method is presented to emphasize the relationship between the original GMM and the proposed solution. Hence, everyone who knows the GMM for a complete PCM should easily understand its proposed extension. Theoretical considerations are accompanied by a numerical example, allowing the reader to follow the calculations step by step.

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