scholarly journals A comparison of: four multiple prediction selection techniques, mathematical and empirical estimation of weight validity, and the quality of prediction of three different combinations of a real life data set

1982 ◽  
Author(s):  
Ahmad Suleiman Audeh
Keyword(s):  
Real Life ◽  
Empirical Estimation ◽  
Data Set ◽  
Life Data ◽  
Real Life Data ◽  
Multiple Prediction

scholarly journals Calibration-Based Estimators using Different Distance Measures under Two Auxiliary Variables: A Comparative Study

2021 ◽  
Vol 19 (1) ◽  
pp. 2-20
Author(s):  
Piyush Kant Rai ◽  
Alka Singh ◽  
Muhammad Qasim
Keyword(s):  
Mean Squared Error ◽  
Real Life ◽  
Distance Functions ◽  
Distance Measures ◽  
Auxiliary Variables ◽  
Data Set ◽  
Life Data ◽  
Squared Error ◽  
Real Life Data ◽  
Relative Root

This article introduces calibration estimators under different distance measures based on two auxiliary variables in stratified sampling. The theory of the calibration estimator is presented. The calibrated weights based on different distance functions are also derived. A simulation study has been carried out to judge the performance of the proposed estimators based on the minimum relative root mean squared error criterion. A real-life data set is also used to confirm the supremacy of the proposed method.

Mining Calendar-based Periodic Patterns from Nonbinary Transactions

2014 ◽  
Vol 23 (3) ◽  
pp. 277-291 ◽  
Author(s):  
Jhimli Adhikari
Keyword(s):  
Real Life ◽  
Frequent Itemsets ◽  
Periodic Pattern ◽  
Temporal Data ◽  
Certainty Factor ◽  
Periodic Patterns ◽  
Business Decisions ◽  
Life Data ◽  
Real Life Data

AbstractA large class of problems deals with temporal data. Identifying temporal patterns in these datasets is a natural as well as an important task. In recent times, researchers have reported an algorithm for finding calendar-based periodic pattern in time-stamped data without considering the purchased quantities of the items. However, most of the real-life databases are nonbinary, and therefore, exploring various calendar-based patterns (yearly, monthly, weekly, daily) with their purchased quantities may discover information useful to improve the quality of business decisions. In this article, a technique is proposed to extract calendar-based periodic patterns from nonbinary transactions. In this connection, the concept of certainty factor has been introduced by incorporating transaction frequency for overlapped intervals. Algorithms have been designed to mine frequent itemsets along with intervals and quantity. In addition to that, we have designed an algorithm to find the periodicity of the pattern. The algorithm is tested with real-life data, and the results are given.

scholarly journals 1533P Real-life data from the platform for outcome, quality of life and translational research on pancreatic cancer - PARAGON

2020 ◽  
Vol 31 ◽  
pp. S943
Author(s):  
S-E. Al-Batran ◽  
W. Blau ◽  
R. Liersch ◽  
S. Mahlmann ◽  
A. Lueck ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Pancreatic Cancer ◽  
Translational Research ◽  
Real Life ◽  
Outcome Quality ◽  
Life Data ◽  
Real Life Data

scholarly journals Bayesian Analysis of Extended Cox Model with Time-Varying Covariates Using Bootstrap Prior

2020 ◽  
Vol 18 (2) ◽  
pp. 2-13
Author(s):  
Oyebayo Ridwan Olaniran ◽  
Mohd Asrul Affendi Abdullah
Keyword(s):  
Empirical Bayes ◽  
Cox Model ◽  
Real Life ◽  
Estimation Procedure ◽  
Time Varying ◽  
Data Set ◽  
Life Data ◽  
Real Life Data ◽  
Time Varying Covariates ◽  
Extended Cox Model

A new Bayesian estimation procedure for extended cox model with time varying covariate was presented. The prior was determined using bootstrapping technique within the framework of parametric empirical Bayes. The efficiency of the proposed method was observed using Monte Carlo simulation of extended Cox model with time varying covariates under varying scenarios. Validity of the proposed method was also ascertained using real life data set of Stanford heart transplant. Comparison of the proposed method with its competitor established appreciable supremacy of the method.

scholarly journals The Use of HSQoL-24 in an Assessment of Quality-of-Life Impairment among Hidradenitis Suppurativa Patients: First Look at Real-Life Data

2021 ◽  
Vol 10 (22) ◽  
pp. 5446
Author(s):  
Piotr K. Krajewski ◽  
Servando E. Marrón ◽  
Manuel Gomez-Barrera ◽  
Lucía Tomas-Aragones ◽  
Yolanda Gilaberte-Calzada ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Hidradenitis Suppurativa ◽  
Disease Onset ◽  
Real Life ◽  
Clinical Settings ◽  
Life Data ◽  
Real Life Data ◽  
Inflammatory Skin Disorder ◽  
Family House

Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder with well-documented effects on patients’ quality of life (QoL). The aim of this study was to evaluate the QoL of patients with HS via the use of a newly developed questionnaire: Hidradenitis Suppurativa Quality of Life-24 (HSQoL-24). This study was performed on a population of 342 HS patients. Their QoL was assessed via the HSQoL-24 questionnaire. The perceived impairment of QoL due to HS in the studied group was considered to be serious (mean HSQoL-24 score: 58.3 ± 21.0 points). Women tended to experience a significantly higher impact from the disease than men (61.6 ± 19.2 points vs. 51.1 ± 23.1 points, p < 0.001). The HS severity had an effect on the perceived QoL, with statistically significant differences being evident between the self-assessed HS severity groups. The level of QoL impairment correlated positively with the number of affected body areas (r = 0.285, p < 0.001) and the duration of the disease (r = 0.173, p = 0.001), while the patients’ age at disease onset correlated negatively with the HSQoL-24 global score (r = −0.182, p = 0.001). Patients living in their family house scored higher than other groups. The least affected were patients who lived alone. The study shows that the HSQoL-24 questionnaire is a reliable, HS-specific tool for measuring the QoL among patients with HS in real-life clinical settings.

scholarly journals Transmuted Alpha Power Inverse Rayleigh Distribution: Properties and Application

2019 ◽  
Vol 11 (2) ◽  
pp. 185-194
Author(s):  
A. S. Malik ◽  
S. P. Ahmad
Keyword(s):  
Parameter Estimation ◽  
Potential Application ◽  
Real Life ◽  
Rayleigh Distribution ◽  
Parameter Distribution ◽  
Alpha Power ◽  
Data Set ◽  
Life Data ◽  
Real Life Data ◽  
Proposed Model

This paper proposes a new three parameter-distribution through the technique known as Transmutation. The proposed distribution is named Transmuted Alpha power inverse Rayleigh Distribution. Several important properties of the distribution are derived. The parameter estimation is also carried out. Two real life data set are used at the end to describe the potential application of proposed model.

scholarly journals Graduation of term assurance data using frailty approach

2021 ◽  
Vol 16 (3) ◽  
pp. 2809-2823
Author(s):  
Walter Omonywa Onchere
Keyword(s):  
Real Life ◽  
Mortality Rates ◽  
Frailty Models ◽  
Data Set ◽  
Life Data ◽  
Real Life Data ◽  
Crude Mortality ◽  
Exponentiated Weibull ◽  
Weibull Models ◽  
Fully Bayesian

Frailty models have been used in literature to account for heterogeneity among insureds in-terms of mortality. In this article, we compare the gamma and the non-central gamma as frailty distributions with the exponentiated exponential and exponentiated Weibull as baseline hazards. We adopt a fully Bayesian approach to calibrate the baselines based on crude mortality rates from a major Kenyan insurer. Comparing the gamma-exponentiated Weibull with the non-central gamma-exponentiated Weibull models shows that the non-central gamma provides a good fit to the real life data-set and is therefore recommended for valuation.

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