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Sample size dimensioning for estimating the average monthly rainfall in different locations of Rio Grande do Sul State, Brazil/Dimensionamento da amostra para a estimacao da media de precipitacao pluvial mensal em diferentes locais do Estado do Rio Grande do Sul

Filho, Alberto Cargnelutti ; Matzenauer, Ronaldo ; Radin, Bernadete ; Maluf, Jaime Ricardo Tavares ; Hauser, Lisiane

Ciência rural, 2010-01, Vol.40 (1) [Periódico revisado por pares]

Universidade Federal de Santa Maria

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  • Título:
    Sample size dimensioning for estimating the average monthly rainfall in different locations of Rio Grande do Sul State, Brazil/Dimensionamento da amostra para a estimacao da media de precipitacao pluvial mensal em diferentes locais do Estado do Rio Grande do Sul
  • Autor: Filho, Alberto Cargnelutti ; Matzenauer, Ronaldo ; Radin, Bernadete ; Maluf, Jaime Ricardo Tavares ; Hauser, Lisiane
  • Assuntos: Rain
  • É parte de: Ciência rural, 2010-01, Vol.40 (1)
  • Descrição: It was used data from 19 locations of the Rio Grande do Sul State, Brazil, collected from 1953 to 2007, with the objective to determine the sample size to estimate the average monthly rainfall. The central tendency, variability and asymmetry was calculated for each of the 228 time series (12 months x 19 locations) and the aleatory and normality data were tested. Then it was verified the homogeneity of variance among months in each locality and among places in each month and it was determined the sample size to estimate the average monthly rainfall in each month and locality. The sample size (number of years) to estimate the average monthly rainfall is dependent on the month and locality. One concluded that 51 years of data are enough to predict the average monthly rainfall, with an estimation error equal to 25% of estimated average, with a degree confidence of 95%.
  • Editor: Universidade Federal de Santa Maria
  • Idioma: Espanhol

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