scholarly journals Variable-ratio matching with fine balance in a study of the Peer Health Exchange

2015 ◽  
Vol 34 (30) ◽  
pp. 4070-4082 ◽  
Author(s):  
Samuel D. Pimentel ◽  
Frank Yoon ◽  
Luke Keele
Keyword(s):  
Variable Ratio ◽  
Ratio Matching

scholarly journals Design Approach for Reducing Cross-Axis Sensitivity in a Single-Drive Multi-Axis MEMS Gyroscope

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 902
Author(s):  
Hussamud Din ◽  
Faisal Iqbal ◽  
Byeungleul Lee
Keyword(s):  
Microelectromechanical Systems ◽  
Reduction Rate ◽  
Design Technique ◽  
Matching Method ◽  
Mems Gyroscope ◽  
Mode Split ◽  
The Cross ◽  
The Individual ◽  
Cross Axis ◽  
Ratio Matching

In this paper, a new design technique is presented to estimate and reduce the cross-axis sensitivity (CAS) in a single-drive multi-axis microelectromechanical systems (MEMS) gyroscope. A simplified single-drive multi-axis MEMS gyroscope, based on a mode-split approach, was analyzed for cross-axis sensitivity using COMSOL Multiphysics. A design technique named the “ratio-matching method” of drive displacement amplitudes and sense frequency differences ratios was proposed to reduce the cross-axis sensitivity. Initially, the cross-axis sensitivities in the designed gyroscope for x and y-axis were calculated to be 0.482% and 0.120%, respectively, having an average CAS of 0.301%. Using the proposed ratio-matching method and design technique, the individual cross-axis sensitivities in the designed gyroscope for x and y-axis were reduced to 0.018% and 0.073%, respectively. While the average CAS was reduced to 0.045%, showing a reduction rate of 85.1%. Moreover, the proposed ratio-matching method for cross-axis sensitivity reduction was successfully validated through simulations by varying the coupling spring position and sense frequency difference variation analyses. Furthermore, the proposed methodology was verified experimentally using fabricated single-drive multi-axis gyroscope.

Ratio matching. Comments

1974 ◽  
Vol 46 (12) ◽  
pp. 1876-1878
Author(s):  
C. W. Chen
Keyword(s):  
Ratio Matching

Schedule discrimination in a mixed schedule: Implications for models of the variable-ratio, variable-interval rate difference

2008 ◽  
Vol 78 (1) ◽  
pp. 10-16 ◽  
Author(s):  
Alan Silberberg ◽  
Kazuhiro Goto ◽  
Yosuke Hachiga ◽  
Takayuki Tanno
Keyword(s):  
Variable Interval ◽  
Variable Ratio ◽  
Rate Difference ◽  
Mixed Schedule

A variable ratio, tape-coupled, recording microdensitometer

1958 ◽  
Vol 35 (3) ◽  
pp. 114-114 ◽  
Author(s):  
P C Russell ◽  
J E Wilson
Keyword(s):  
Variable Ratio

scholarly journals ANALISIS KEBANGKRUTAN PERUSAHAAN DENGAN MODEL ALTMAN Z-SCORE PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011-2014

2015 ◽  
Vol 10 (2) ◽  
Author(s):  
Rio Evans B.M.S ◽  
Cut Ermiati
Keyword(s):  
Sampling Technique ◽  
Multinomial Logit ◽  
Financial Ratios ◽  
Variable Ratio ◽  
Logit Analysis ◽  
Z Score ◽  
Book Value ◽  
Financial Condition ◽  
Total Debt ◽  
Retained Earnings

This study examines the analysis of bankruptcy which uses a model Altman Z-Score 1983 once studied the effect of variable ratio of Working Capital to Total Assets (X1), Retained Earnings to Total Assets (X2), Earnings Before Interest and Tax to Total Assets (X3), Book Value of Equity to Book Value of Total Debt (X4), and Sales to Total Assets (X5) against bankruptcy for companies that went bankrupt or for companies that are not bankrupt by the number of samples (purposive sampling as a sampling technique ) as many as 15 companies. The purpose of this study is to analyze the financial ratios Altman model to explain the company's financial condition foods and beverages as a first step in anticipation of bankruptcy. The analysis method in this research is to perform calculations using the Altman Z-Score Revised (1983) and multinomial logit analysis. Testing is done with the first models prerequisite analysis, testing normality with the overall result is a variable based test One Sample Kolmogorov-Smirnov test indicated that the model in an abnormal position with evidence of significant data α > 0.05. Second, the test results with the results multikolinieritas with VIF < 10 and the tolerance level of > 0.1 indicates that our model is free from the problems of multicollinearity. This is consistent with the assumption multinomial logit analysis that does not require the classical assumption that multinomial logit analysis can proceed. The results of this study are the calculations that have been done, that there are 10 companies in the category of Grey Area and 5 companies in the category is not bankrupt. Seen as a whole has a classification of 95%, while the remaining 5% indicates that bankruptcy is explained by other variables other than those examined in this study In this study the variable ratio of Book Value of Equity to Book Value of Total Debt and Sales to Total Assets have influence significantly to the bankruptcy analysis. So that this research model is Z-Score = Ln (P1/P0) = -149.589 + 117,603BVEBVD + 33,029STA and Z-Score = Ln (P2/P0) = -117.301 + 111,623BVEBVD + 21,657STA Keywords: Bankruptcy, Multinomial Logit Analysis, Financial Ratios Altman Z-Score Model Of Revision.

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