Confidence Intervals For The Common Variance Of Lognormal Distributions

2020 ◽  
Vol 66 (1) ◽  
pp. 135-147
Author(s):  
Narudee Smithpreecha ◽  
Suparat Niwitpong
Keyword(s):  
Confidence Intervals ◽  
Common Variance ◽  
Lognormal Distributions ◽  
The Common

scholarly journals Estimating the average daily rainfall in Thailand using confidence intervals for the common mean of several delta-lognormal distributions

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10758
Author(s):  
Patcharee Maneerat ◽  
Sa-Aat Niwitpong
Keyword(s):  
Confidence Intervals ◽  
Average Length ◽  
Daily Rainfall ◽  
Parametric Bootstrap ◽  
Posterior Density ◽  
Lognormal Distributions ◽  
Common Mean ◽  
The Common ◽  
Fiducial Generalized Confidence Interval ◽  
Highest Posterior Density

The daily average natural rainfall amounts in the five regions of Thailand can be estimated using the confidence intervals for the common mean of several delta-lognormal distributions based on the fiducial generalized confidence interval (FGCI), large sample (LS), method of variance estimates recovery (MOVER), parametric bootstrap (PB), and highest posterior density intervals based on Jeffreys’ rule (HPD-JR) and normal-gamma-beta (HPD-NGB) priors. Monte Carlo simulation was conducted to assess the performance in terms of the coverage probability and average length of the proposed methods. The numerical results indicate that MOVER and PB provided better performances than the other methods in a variety of situations, even when the sample case was large. The efficacies of the proposed methods were illustrated by applying them to real rainfall datasets from the five regions of Thailand.

Characteristics of Readmitted Psychiatric Inpatients

2003 ◽  
Vol 93 (1) ◽  
pp. 235-238 ◽  
Author(s):  
Kaye Baron ◽  
J. Ray Hays
Keyword(s):  
Clinical Utility ◽  
Hospital Admissions ◽  
Psychiatric Patients ◽  
Prediction Equation ◽  
Short Length ◽  
Cognitive Resources ◽  
Common Variance ◽  
Younger Age ◽  
The Common ◽  
Initial Hospitalization

This study examined sociodemographic, diagnostic, psychological, and episode-based variables in a sample of 130 psychiatric patients admitted to treatment at least twice in a 6-yr. period. Short length of initial hospitalization ( r = -.30, p <.01) and younger age on initial admission ( r = -.20, p <.05) were significantly correlated with frequent hospital admissions. Scores on four of the subscales of the WAIS-R were significantly correlated with readmission, confirming that patients who have fewer cognitive resources are at risk of frequent admissions. A multiple regression analysis combining variables to predict readmission accounted for only 12% of the common variance ( r128 = .34, p <.01), however, indicating that a prediction equation with these variables has limited clinical utility.

scholarly journals Development and Approbation of Methods for Diagnostics of Predisposition to Monosemantic or Polysemantic Context Generation

2019 ◽  
Vol 24 (3) ◽  
pp. 95-107
Author(s):  
N.A. Khokhlov ◽  
G.D. Laskov
Keyword(s):  
Personality Traits ◽  
Functional Asymmetry ◽  
The Other ◽  
Cronbach’S Alpha ◽  
Common Variance ◽  
Retest Reliability ◽  
Cronbach's Alpha ◽  
The Common ◽  
Test Retest Reliability

This article focuses on the development of methods to measure personality and cognitive predisposition to monosemantic or polysemantic context generation (PCG).In accordance with the concept of V.S. Rotenberg, we assumed that PCG was connected with manual functional asymmetry. We developed four tests: one was designed to measure personality PCG, the other three measure cognitive PCG. Approbation samples consisted of 160—736 participants. Cronbach's alpha (0.67—0.93) and split-half coefficient (0.72—0.93) were calculated for all tests, for two of them test-retest reliability (0.47—0.91) was measured. Variance of personal PCG on 21.7% is explained by the variance of personality traits “reticence-sociability” and “concreteness-abstractness”. Personality and cognitive PCG are interconnected, but they have a fair amount of specificity. Manual functional asymmetry is weakly connected with personal PCG (not more than 1.5% of the common variance) and is not connected with cognitive PCG

Relationship between Magical Ideation and Noctcaelador

2005 ◽  
Vol 101 (2) ◽  
pp. 373-374
Author(s):  
William E. Kelly ◽  
Don Daughtry
Keyword(s):  
University Students ◽  
Perceptual Experience ◽  
Operational Definition ◽  
Common Variance ◽  
Magical Ideation ◽  
Strong Interest ◽  
The Common ◽  
Night Sky ◽  
Definition Of ◽  
The Relationship

This study explored the relationship between magical ideation and “noctcaelador” (strong interest in, and psychological attachment to, the night sky). 210 university students completed Eckblad and Chapman's 1983 Magical Ideation Scale and Kelly's 2004 Noctcaelador Inventory. Scores on the two scales were significantly positively related and accounted for 14% of the common variance. Based on this operational definition of magical ideation, a strong interest in the night-sky might be associated with uncommon beliefs and reports of unusual perceptual experience. Researchers must clarify and define these concepts to study possible relations.

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