Failure to Make Orthogonal Polynomial Adjustments for Unequally Spaced Intervals Yields Inaccurate F Values in Trend Tests

1971 ◽  
Vol 33 (3_suppl) ◽  
pp. 1179-1183 ◽  
Author(s):  
Jon E. Roeckelein

Trend tests on the same sets of data having unequally spaced intervals of the independent variable were conducted under conditions of adjustment and non-adjustment of the orthogonal coefficients for linear and quadratic regression. The major result was an inflated F value for the linear component and potentially spurious values for the quadratic component. It was recommended that authors explicitly cite procedures when adjustments of orthogonal coefficients have been made in trend analyses for unevenly spaced levels of the independent variable.

The criteria for distinguishing between the maximum and minimum values of integrals have been investigated by many eminent mathematicians. In 1786 Legendre gave an imperfect discussion for the case where the function to be made a maximum is ʃ f (x,y, dy / dx ) dx . Nothing further seems to have been done till 1797, when Lagrange pointed out, in his ‘Théorie des Fonctions Analytiques,' published in 1797, that Legendre had supplied no means of showing th at the operations required for his process were not invalid through some of the multipliers becoming zero or infinite, and he gives an example to show that Legendre’s criterion, though necessary, was not sufficient. In 1806 Brunacci, an Italian mathematician, gave an investigation which has the important advantage of being short, easily compiehensible, and perfectly general in character, but which is open to the same objection as that brought against Legendre’s method. The next advance was made in 1836 by the illustrious Jacobi, who treats only of functions containing one dependent and one independent variable. Jacobi says (Todhunter, Art. 219, p. 243): “I have succeeded in supplying a great deficiency in the Calculus of Variations. In problems on maxima and minima which depend on this calculus no general rule is known for deciding whether a solution really gives a maximum or a minimum, or neither. It has, indeed, been shown that the question amounts to determining whether the integrals of a certain system of differential equations remain finite throughout the limits of the integral which is to have a maximum or a minimum value. But the integrals of these differential equations were not known, nor had any other method been discovered for ascertaining whether they remain finite throughout the required interval. I have, however, discovered that these integrals can be immediately obtained when We have integrated the differential equations which must be satisfied in order that the first variation may vanish.” Jacobi then proceeds to state the result of his transformation for the cases where the function to be integrated contains x, y, dy / dx , and x, y, dy / dx 2 , and in this solution the analysis appears free from all objection, though, where he proceeds to consider the general case, the investigation does not appear to be quite satisfactory in form, inasmuch as higher and higher differential coefficients of By are successively introduced into the discussion (see Art. 5). Jacobi’s analysis is much more complicated than Brunacci's, its advantage being that the coefficients used in the transformation could be easily determined; hence it supplied the means of ascertaining whether they became infinite or not.


1997 ◽  
Vol 16 (2) ◽  
pp. 81-87 ◽  
Author(s):  
Kjell Holmberg ◽  
Ulf Landström ◽  
Anders Kjellberg

Indicators of noise level variations were correlated to noise annoyance in workplaces. This was made in a selected group exposed to low frequency noise. The low frequency noise group, consisting of 35 individuals, was selected from a group of 337 persons from various working environments. The noise was recorded at each person's workplace. The subjective annoyance response was rated in a questionnaire. Further questions regarding situational and individual factors were also included. The indicators were statistical countings of successive differences between discrete Leq values over short time periods. Interaction between noise level variations and other factors was also included in the study. The correlation was studied by multiple regression analysis with the rated annoyance as dependent variable. Personal control over the noise was entered into the analysis as a first independent variable. Change in R2 when entering the level variations reflected the relative importance of them in comparison to noise level. According to the results low frequency noise level variation explains about 11 percent of the annoyance variance in this material. In the study it was also found that personal control over the low frequency noise was strongly correlated to rated annoyance and that noise level was not.


1953 ◽  
Vol 6 (2) ◽  
pp. 131 ◽  
Author(s):  
PG Guest

From the observed values of the independent variable two parameters are derived which specify the departure from uniform spacing. Expressions are obtained for the standard errors of the coefficients and fitted values in terms of these parameters, and numerical tables for the estimation of the errors are given. It is shown that the errors calculated in this way lie within a few per cent. of the exact least squares values for polynomials of the first and second degree, but when the polynomial is of the third degree the deviations may be much greater.


2013 ◽  
Vol 2 (2) ◽  
pp. 32
Author(s):  
ADE KUSUMA DEWI ◽  
I WAYAN SUMARJAYA ◽  
I GUSTI AYU MADE SRINADI

The experiments were conducted to determine the relationship between response variable and independent variable and the effect of independent variables to response variable. Multiple comparison tests can be used to find the level that makes optimal response. However, this test has a drawback that it only finds the optimal level tested at the level being considered. Thus test is more suitable for qualitative independent variables. On the other hand, for quantitative independent variables we can use the orthogonal polynomial method and response surface method (RSM).The purpose of this research is to apply RSM to produce optimal response. It can be concluded that RSM is an efficient used to find the level of independent variables to makes optimal response.


2014 ◽  
Vol 1010-1012 ◽  
pp. 1340-1343
Author(s):  
Zhan Xiu Sun ◽  
Li Nan Du ◽  
Feng Pian

Since the influence of urban over Development Zone is complex, the article focused on the effect made by the investment of urban. Assuming the GDP of the Development Zone be dependent variable, while the development and location of Development Zone, and investment of urban be independent variable, which based on the ‘nested structure’ exist between urban and Development Zone, the paper was about to construct ahierarchical linear model for revealing the influence of urban over Development Zone. As the research reflects, investment of urban has the positive proportion with the development of Development Zone. In addition, the paper shows the investment which is made in the origin of the Development Zone was key to the speed and quality of its own development. This paper is of reference value to the rationalization of the scale of new urban area.


2019 ◽  
Vol 11 (2) ◽  
pp. 34-40
Author(s):  
Samsul Bahri ◽  
Ari Saputra ◽  
Makmun Reza Razali

Noise on a road is caused by the sound of a vehicle engine which is passing on. It  can make the environment uncomfortable and the health problems in humans. The distance between the object and the sound source determines the magnitude of this impact. This study aims to look for the effect of the distance on noise levels that caused by vehicle engine sounds. The study was conducted in the central of Bengkulu City, Jalan Suprapto. Observations were made in 2 segments of Suprapto Road with 10 m distance intervals perpendicular to the sound source with a total of 5 points. The mathematical model uses the linear regression equation approach. Distance is an independent variable and noise is an independent variable. The results showed that, the relationship between the distance of the observation point and the noise value obtained equation Y = -0,317x+71,20 with R2 = 0,984.Keywords: noise, distortion, regression.


2018 ◽  
Vol 16 (1) ◽  
pp. 3-8
Author(s):  
Toby Hughes ◽  
Lindsay Richards ◽  
Grant Townsend

There have been numerous attempts to quantify the shape of the dental arch mathematically, with orthogonal polynomial curves providing a robust and versatile method for quantifying variation in both shape and asymmetry. Lu (1966) first presented the theoretical basis for fitting orthogonal polynomials to arch shape data. Whilst theoretically sound, Lu’s original paper contained several arithmetic errors and a number of incorrect assumptions. In this paper we present corrections for these errors and extrapolate the theory to unequally-spaced arch shape data using a simple recursive procedure first developed by Robson (1959).


Author(s):  
Hakan Cavlak ◽  
Davuthan Gunaydin

The employment policy is one of the most disputable areas between Turkey and the EU. The EU declared two opening conditions, one about union rights and the other one about preparing an action plan displaying step by step the transposing of EU laws. Although Turkey claims that she met those criteria, the EU insists on keeping the accession negotiations in this area closed. However, there is serious gap between Turkish and European employment policies and in order to comply with the EU’s, there is a strong need of enthusiasm in Turkey for proper implementation of changes made in legal and institutional structures. Simultaneously, the EU has to offer a considerable incentive, e.g. membership, for Turkey to encourage her to adapt EU rules in employment policy. Unfortunately, it is argued in this paper that the current situation is the opposite, i.e. there is no substantial incentive from the EU to encourage Turkey and thus, no enthusiasm from Turkey to comply with the EU policy. In order to analyze the impact of the EU on Turkey’s employment policy the main question designed in this paper is: ‘To what extent does the EU have influence on policy convergence in a candidate country that does not have a clear membership perspective? ‘. It is argued in this study that “without a concrete incentive, European Union’s impact on a candidate country would be limited”.  Thus, the patterns of policy change at the national level are the dependent variable to be observed. The European Union’s conditionality is the independent variable that is expected to alter the national patterns.


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