Is Alcohol Consumption Log-Normally Distributed among Fourteen- to Seventeen-Year-Olds?

1981 ◽  
Vol 48 (3) ◽  
pp. 995-1005 ◽  
Author(s):  
Barrie G. Stacey ◽  
Geoffrey A. Elvy
Keyword(s):  
New Zealand ◽  
Alcohol Consumption ◽  
Total Sample ◽  
Normal Distributions ◽  
Theoretical Position ◽  
High Consumption ◽  
Normal Frequency ◽  
Log Normal ◽  
Nation Wide Survey ◽  
Log Normal Distribution

The problem of explaining the distribution of alcohol consumption in a population is discussed with particular reference to the log-normal frequency distribution of alcohol consumption and the claims associated with it. Criticisms directed at this application of the log-normal distribution are presented, as is Ole-Jørgen Skog's defense of the log-normal hypothesis. A nation-wide survey of alcohol consumption by 1278 New Zealand 14- to 17-yr.-olds is described. In this sample, representing homogeneous substrata of the New Zealand population, the distribution of alcohol consumption is not close to log-normality in the high consumption segment of the distribution for males, females, and the total sample. However, some analysts would probably interpret our results as borderline or even approximate log-normal distributions. The significance of these results for the log-normal hypothesis and Skog's theoretical position is outlined. Important features of alcohol consumption among 14- to 17-yr.-olds in New Zealand are discussed.

Distribution of Self-Reported Alcohol Consumption in New Zealand, 1978–1979

1980 ◽  
Vol 47 (1) ◽  
pp. 159-170 ◽  
Author(s):  
Robert A. M. Gregson ◽  
Barrie G. Stacey
Keyword(s):  
Time Series ◽  
New Zealand ◽  
Alcohol Consumption ◽  
Frequency Distribution ◽  
National Survey ◽  
Recent History ◽  
Normal Frequency ◽  
Total Alcohol ◽  
History Of ◽  
Log Normal

The problem of estimating how much alcohol individuals actually drink is discussed with particular reference to the log-normal frequency distribution of alcohol consumption. It is then presented as being a problem of inference from the recent history of a time series. Following directly from this presentation, data obtained in a national survey of 10,000 New Zealand residents are analyzed (a) to yield the frequency distribution of estimated drinking rates; (b) to test whether this distribution is log-normal in form; and (c) to provide further information about the distribution of alcohol consumption. This analysis enabled us to account for almost the whole of the actual total alcohol consumption in New Zealand. The results are different from those expected on the basis of the uncorrected log-normal description of consumption.

scholarly journals ESTIMATIVA E DISTRIBUIÇÃO DE PRECIPITAÇÕES DECENDIAIS PARA O ESTADO DO PARANÁ

Irriga ◽  
2007 ◽  
Vol 12 (1) ◽  
pp. 38-53 ◽  
Author(s):  
Silvio César Sampaio ◽  
Manoel Moisés Ferreira de Queiroz ◽  
Elisandro Pires Frigo ◽  
Adair José Longo ◽  
Morgana Suszek
Keyword(s):  
Normal Distribution ◽  
Gamma Distribution ◽  
Daily Rainfall ◽  
Rain Gauge ◽  
Observation Data ◽  
Normal Distributions ◽  
Kolmogorov Smirnov ◽  
Log Normal ◽  
Log Normal Distribution ◽  
East West

ESTIMATIVA E DISTRIBUIÇÃO DE PRECIPITAÇÕES DECENDIAIS PARA O ESTADO DO PARANÁ  Silvio César Sampaio; Manoel Moisés Ferreira de Queiroz; Elisandro Pires Frigo; Adair José Longo; Morgana SuszekSetor de Recursos Hídricos e Saneamento Ambiental (RHESA), Universidade Estadual do Oeste do Paraná,  Cascavel, Paraná, [email protected]  1 RESUMO O objetivo deste trabalho foi estimar a precipitação provável com 75% de probabilidade nos períodos decendiais, a partir de dados diários de precipitação de 22 postos de medição, com um mínimo de 12 anos de observação, fazendo-se uso das distribuições Gama e Log-normal. Os testes Qui-quadrado e Kolmogorov-Smirnov, ambos com 5% de significância, foram utilizados para verificar a aderência das distribuições às condições pluviométricas decendiais do estado do Paraná. Os resultados mostraram que a distribuição Gama ajustou-se mais adequadamente às condições pluviométricas do estado nos períodos estudados. Os meses mais chuvosos são janeiro e fevereiro, enquanto os mais secos, são julho e agosto. O estado do Paraná apresenta aumento na quantidade de precipitação pluviométrica na direção litoral/oeste e norte/sul. UNITERMOS: probabilidades, chuva provável, distribuição Gama, distribuição log-normal.  SAMPAIO, S.C.; QUEIROZ, M.M.F. de; FRIGO, E.P.; LONGO, A.J.; SUSZEK, M.DISTRIBUTION AND ESTIMATE OF PROBABLE 10-DAY PRECIPITATION INPARANÁSTATE  2 ABSTRACT The objective of this study was to estimate the probable 10-day precipitation, 75% probability, using daily rainfall data from 22 rain gauge sites, which had been collecting observation data for at least 12 years; Gamma and Log-normal distributions were used. Qui-square and Kolmogorov-Smirnov tests, at 5% significance, were utilized to verify distribution adherence to 10-day rainfall conditions in the state of Paraná. The results showed that Gamma distribution was more adequately adjusted to rainfall conditions in the studied periods than Log-normal distributions. January and February are the rainiest months whereas July and August are the driest ones. There is an increase in the east/west and north/south bound rainfall inParanastate. KEYWORDS: probabilities, probable rainfall, gamma distribution, log-normal distribution.  

A Comparison of Estimates of the Prevalence of Heavy Drinkers in Local Regions of Queensland

1998 ◽  
Vol 32 (4) ◽  
pp. 504-510 ◽  
Author(s):  
Gabrielle M. Crook ◽  
Mark E. West ◽  
Tian P.S. Oei
Keyword(s):  
Alcohol Consumption ◽  
Population Survey ◽  
National Health Survey ◽  
Self Report ◽  
Treatment Interventions ◽  
Heavy Drinkers ◽  
Consumption Model ◽  
Survey Estimates ◽  
Log Normal ◽  
Log Normal Distribution

Objective: This study developed and compared separate estimates of the number of heavy drinkers (the in-need population for alcohol treatment interventions) across eight local regions in Queensland. Method: Estimates were based on: (i) a self-report population survey of alcohol consumption; and (ii) an application of the Ledermann log-normal distribution of consumption model to liquor sale figures. Results: Estimates based on the 1989–1990 National Health Survey (NHS) data indicated that 10.98% (n = 83 880) of adult male drinkers and 1.25% (n = 6581) of adult female drinkers in Queensland (total = 90 461) were on average drinking the equivalent of six or more standard drinks a day in the week prior to the survey (4.74% of Queensland adult drinkers, n = 90,461). Estimates based on the Ledermann model indicated that 12.18% of adult Queensland drinkers (n = 232,283) were drinking six or more standard drinks a day. Estimates based on the Ledermann model were 157% larger than estimates based on NHS data (i.e. a difference of 141 821 heavy drinkers), with large variations in the two estimates across local regions. Conclusion: The NHS data appears to underestimate the population of heavy drinkers, whereas the Ledermann model overestimates it. In this situation, it seems preferable to use the more conservative self-report survey estimates.

scholarly journals Bayesian Confidence Intervals for Coefficients of Variation of PM10 Dispersion

2021 ◽  
Vol 5 (2) ◽  
pp. 139-154
Author(s):  
Warisa Thangjai ◽  
Sa-Aat Niwitpong ◽  
Suparat Niwitpong
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Confidence Intervals ◽  
Bayesian Approach ◽  
Normal Distributions ◽  
Coefficients Of Variation ◽  
The Difference ◽  
Log Normal ◽  
Log Normal Distribution ◽  
The Bayesian Approach

Herein, we propose the Bayesian approach for constructing the confidence intervals for both the coefficient of variation of a log-normal distribution and the difference between the coefficients of variation of two log-normal distributions. For the first case, the Bayesian approach was compared with large-sample, Chi-squared, and approximate fiducial approaches via Monte Carlo simulation. For the second case, the Bayesian approach was compared with the method of variance estimates recovery (MOVER), modified MOVER, and approximate fiducial approaches using Monte Carlo simulation. The results show that the Bayesian approach provided the best approach for constructing the confidence intervals for both the coefficient of variation of a log-normal distribution and the difference between the coefficients of variation of two log-normal distributions. To illustrate the performances of the confidence limit construction approaches with real data, they were applied to analyze real PM10 datasets from the Nan and Chiang Mai provinces in Thailand, the results of which are in agreement with the simulation results. Doi: 10.28991/esj-2021-01264 Full Text: PDF

Moth diversity of a tropical forest in Peninsular Malaysia

1989 ◽  
Vol 5 (1) ◽  
pp. 37-50 ◽  
Author(s):  
H. S. Barlow ◽  
I. P. Woiwod
Keyword(s):  
New Zealand ◽  
Great Britain ◽  
Normal Distribution ◽  
Light Trap ◽  
Peninsular Malaysia ◽  
Log Normal ◽  
Log Normal Distribution ◽  
Very High ◽  
High Diversity ◽  
Better Than

ABSTRACTA standard Rothamsted light trap was operated for slightly over 12 months from the end of September 1979 to October 1980 at Genting Sempah, Pahang in Malaysia. All specimens of macrolepidoptera families together with the Pyralidae were identified, counted and recorded. The numbers of species caught were compared with those obtained by a different method at a nearby site for over 10 years. Diversity, biomass and seasonality of the catch were compared with identically sampled populations in Great Britain and New Zealand. The Genting Sempah trap had very high diversity and biomass compared with the temperate samples and exhibited much less seasonality. The Pyralidae and other families (excluding Noctuidae and Geometridae) formed a much higher component of diversity in Genting than in Britain. The log-normal distribution fits the data better than the log-series. So the inter-quartile slope, Q, is the correct parameter for interfaunal comparisons.

Log-normal distributions in parasitology

1984 ◽  
Vol 93 (6) ◽  
pp. 591-598 ◽  
Author(s):  
Sandeep K Malhotra
Keyword(s):  
Normal Distributions ◽  
Log Normal

scholarly journals A Universal Model for the Log-Normal Distribution of Elasticity in Polymeric Gels and Its Relevance to Mechanical Signature of Biological Tissues

Biology ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 64
Author(s):  
Arnaud Millet
Keyword(s):  
Elastic Modulus ◽  
Normal Distribution ◽  
Biological Tissues ◽  
Force Microscopy ◽  
Polymeric Gels ◽  
Atomic Force ◽  
Clear Explanation ◽  
Log Normal ◽  
Log Normal Distribution

The mechanosensitivity of cells has recently been identified as a process that could greatly influence a cell’s fate. To understand the interaction between cells and their surrounding extracellular matrix, the characterization of the mechanical properties of natural polymeric gels is needed. Atomic force microscopy (AFM) is one of the leading tools used to characterize mechanically biological tissues. It appears that the elasticity (elastic modulus) values obtained by AFM presents a log-normal distribution. Despite its ubiquity, the log-normal distribution concerning the elastic modulus of biological tissues does not have a clear explanation. In this paper, we propose a physical mechanism based on the weak universality of critical exponents in the percolation process leading to gelation. Following this, we discuss the relevance of this model for mechanical signatures of biological tissues.

scholarly journals Extreme geomagnetic activities: a statistical study

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Ryuho Kataoka
Keyword(s):  
Magnetic Storms ◽  
Magnetic Observatory ◽  
Statistical Distributions ◽  
Limited Data ◽  
Data Set ◽  
Sudden Commencements ◽  
The One ◽  
Log Normal ◽  
Geomagnetic Activities ◽  
Log Normal Distribution

Abstract Statistical distributions are investigated for magnetic storms, sudden commencements (SCs), and substorms to identify the possible amplitude of the one in 100-year and 1000-year events from a limited data set of less than 100 years. The lists of magnetic storms and SCs are provided from Kakioka Magnetic Observatory, while the lists of substorms are obtained from SuperMAG. It is found that majorities of events essentially follow the log-normal distribution, as expected from the random output from a complex system. However, it is uncertain that large-amplitude events follow the same log-normal distributions, and rather follow the power-law distributions. Based on the statistical distributions, the probable amplitudes of the 100-year (1000-year) events can be estimated for magnetic storms, SCs, and substorms as approximately 750 nT (1100 nT), 230 nT (450 nT), and 5000 nT (6200 nT), respectively. The possible origin to cause the statistical distributions is also discussed, consulting the other space weather phenomena such as solar flares, coronal mass ejections, and solar energetic particles.

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