scholarly journals Exact Computation of Maximum Rank Correlation Estimator

2021 ◽  
Author(s):  
Youngki Shin ◽  
Zvezdomir Todorov
Keyword(s):  
Rank Correlation ◽  
Exact Computation ◽  
Maximum Rank

Computation of the maximum rank correlation estimator

1999 ◽  
Vol 62 (3) ◽  
pp. 279-285 ◽  
Author(s):  
Jason Abrevaya
Keyword(s):  
Rank Correlation ◽  
Maximum Rank

The Maximum Rank Correlation Estimator and the Rank Estimator in Binary Choice Models

1993 ◽  
Vol 9 (2) ◽  
pp. 313-313 ◽  
Author(s):  
Frank A.G. Windmeijer
Keyword(s):  
Rank Correlation ◽  
Choice Models ◽  
Binary Choice ◽  
Maximum Rank ◽  
Binary Choice Models ◽  
Rank Estimator

scholarly journals Exact Computation of Maximum Rank Correlation Estimator

2021 ◽  
Author(s):  
Youngki Shin ◽  
Zvezdomir Todorov
Keyword(s):  
Optimization Problem ◽  
Original Problem ◽  
Rank Correlation ◽  
Predictive Performance ◽  
Tail Probability ◽  
Performance Measure ◽  
Mixed Integer ◽  
Maximum Rank ◽  
Computation Algorithm ◽  
Indicator Functions

Abstract In this paper we provide a computation algorithm to get a global solution for the maximum rank correlation estimator using the mixed integer programming (MIP) approach. We construct a new constrained optimization problem by transforming all indicator functions into binary parameters to be estimated and show that it is equivalent to the original problem. We also consider an application of the best subset rank prediction and show that the original optimization problem can be reformulated as MIP. We derive the non-asymptotic bound for the tail probability of the predictive performance measure. We investigate the performance of the MIP algorithm by an empirical example and Monte Carlo simulations.

scholarly journals The Limiting Distribution of the Maximum Rank Correlation Estimator

Econometrica ◽  
1993 ◽  
Vol 61 (1) ◽  
pp. 123 ◽  
Author(s):  
Robert P. Sherman
Keyword(s):  
Rank Correlation ◽  
Limiting Distribution ◽  
Maximum Rank ◽  
Distribution Of The Maximum

Variable selection of generalized regression models based on maximum rank correlation

2014 ◽  
Vol 30 (3) ◽  
pp. 833-844 ◽  
Author(s):  
Peng-jie Dai ◽  
Qing-zhao Zhang ◽  
Zhi-hua Sun
Keyword(s):  
Variable Selection ◽  
Regression Models ◽  
Rank Correlation ◽  
Maximum Rank ◽  
Generalized Regression ◽  
Selection Of

The Maximum Rank Correlation Estimator and the Rank Estimator in Binary Choice Models

1994 ◽  
Vol 10 (2) ◽  
pp. 442-443
Author(s):  
Frank A.G. Windmeijer
Keyword(s):  
Rank Correlation ◽  
Choice Models ◽  
Binary Choice ◽  
Maximum Rank ◽  
Binary Choice Models ◽  
Rank Estimator

Positive correlation between neovascularization degree of carotid atherosclerosis determined by contrast-enhanced ultrasound and level of serum C-reactive protein

VASA ◽  
2015 ◽  
Vol 44 (3) ◽  
pp. 0187-0194 ◽  
Author(s):  
Xiaoni Chang ◽  
Jun Feng ◽  
Litao Ruan ◽  
Jing Shang ◽  
Yanqiu Yang ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Rank Correlation ◽  
Artery Stenosis ◽  
Contrast Enhanced Ultrasound ◽  
C Reactive Protein ◽  
Protein Levels ◽  
Reactive Protein ◽  
Contrast Enhanced ◽  
Grade 3 ◽  
Axis View

Background: Neovascularization is one of the most important risk factors for unstable plaque. This study was designed to correlate plaque thickness, artery stenosis and levels of serum C-reactive protein with the degree of intraplaque enhancement determined by contrast-enhanced ultrasound. Patients and methods: Contrast-enhanced ultrasound was performed on 72 carotid atherosclerotic plaques in 48 patients. Contrast enhancement within the plaque was categorized as grade 1, 2 or 3. Maximum plaque thickness was measured in short-axis view. Carotid artery stenosis was categorized as mild, moderate or severe. Results: Plaque contrast enhancement was not associated with the degree of artery stenosis or with plaque thickness. Serum C-reactive protein levels were positively correlated with the number of new vessels in the plaque. C-reactive protein levels increased in the three groups(Grade 1: 3.72±1.79mg/L; Grade 2: 7.88±4.24 mg/L; Grade 3: 11.02±3.52 mg/L), with significant differences among them (F=10.14, P<0.01), and significant differences between each two groups (P<0.05). Spearman’s rank correlation analysis showed that serum C-reactive protein levels were positively correlated with the degree of carotid plaque enhancement (Rs =0.69, P<0.01). Conclusions: The combination of C-reactive protein levels and intraplaque neovascularization detected by contrast-enhanced ultrasound may allow more accurate evaluation of plaque stability.

Age does not necessarily influence latency of event-related potentials

2014 ◽  
Vol 33 (10) ◽  
pp. 723-727
Author(s):  
M. Westermann ◽  
I. W. Husstedt ◽  
A. Okegwo ◽  
S. Evers
Keyword(s):  
Normal Values ◽  
Rank Correlation ◽  
Event Related Potentials ◽  
Intrinsic Property ◽  
Total Sample ◽  
Oddball Paradigm ◽  
Age Dependent ◽  
Related Potentials ◽  
The Mean ◽  
P3 Component

SummaryEvent-related potentials (ERP) are regarded as age dependent. However, it is not known whether this is an intrinsic property of ERP or an extrinsic factor. We designed a setting in which ERP were evoked using a modified oddball paradigm with highly differentiable and detectable target and non-target stimuli. A total of 98 probands were enrolled in this study. We evaluated the latency and amplitude of the P3 component of visually evoked ERP. The mean P3 latency was 294 ± 28 ms and was not related to age (r = –0.089; p = 0.382; Spearman-rank-correlation). The P3 amplitude was related to age in the total sample (r = –0.323; p = 0.001; Spearmanrank-correlation) but not in the probands under the age of 60 years. There were no significant differences regarding sex. Our findings suggest that ERP are not age dependent if highly differentiable and detectable stimuli are used. This should be considered when normal values of ERP are created for clinical use.

HUBUNGAN BEBAN KERJA PERAWAT DENGAN KELENGKAPAN PENGISIAN DOKUMENTASI ASUHAN KEPERAWATAN

2020 ◽  
Vol 5 (2) ◽  
pp. 588
Author(s):  
Etlida Wati ◽  
Ulva Arini
Keyword(s):  
Nursing Care ◽  
Rank Correlation ◽  
Bivariate Analysis ◽  
Spearman Rank Correlation ◽  
Cross Sectional ◽  
Weight Category ◽  
Spearman Rank ◽  
Hospital Room ◽  
Analysis Technique ◽  
Nurse Workload

<p>Documentation is an activity of recording, reporting or recording an event and activities carried out in the form of providing services that are considered important and valuable. One factor that can influence documentation is the nurse's workload. The purpose of this study is to identify the relationship between nurses' workload and the application of documentation in the Hj. Anna Lasmanah Banjarnegara. This  research is quantitative with a cross sectional approach descriptive correlation design. Samples were taken with a total sampling of 65 nurses. Instruments to measure documentation using observation sheets. While the nurse workload instrument uses a questionnaire sheet. The analysis technique uses Spearman Rank correlation. Based on the research results of the workload of a nurse in the hospital room , most of them are in the weight category, as many as 46 respondents (70.8%). Application of nursing care documentation in the hospital room Hj. Anna Lasmanah Banjarnegara, most of them are respondents in the incomplete category as many as 63 respondents (96.9%). There is a significant relationship between nurse workload with the application of documentation, this is evidenced by the results of the Spearman Rank correlation bivariate analysis, which is r = 0.688 with p = 0.000 &lt;0.05. It is hoped that management will motivate nurses to complete the documentation of nursing care</p>

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