Estimating the sample size for fitting taper equations

In this paper, a method that requires two variables that are linearly correlated was applied to determine the sample size for fitting taper equations. Two cases of sample size estimation were tested, based on the method mentioned above. In the first case, the sample size required is referred to the...

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Bibliographic Details
Published in:Journal of forest science (Praha) 2008-04, Vol.54 (4), p.176-182
Main Authors: Kitikidou, K.,Dimokritos Univ. of Thrace, Orestiada (Greece). Dept. of Forestry and Management of the Environment and Natural Resources, Chatzilazarou, G.,Dimokritos Univ. of Thrace, Orestiada (Greece). Dept. of Forestry and Management of the Environment and Natural Resources
Format: Article
Language:English
Subjects:
ARBOLES
ARBRE
ECHANTILLONNAGE
http://www.fao.org/aos/agrovoc#c_6774
http://www.fao.org/aos/agrovoc#c_7377
http://www.fao.org/aos/agrovoc#c_7390
http://www.fao.org/aos/agrovoc#c_7887
METHODE STATISTIQUE
METODOS ESTADISTICOS
MUESTRA
regression
SAMPLING
sampling methods
STATISTICAL METHODS
STEMS
TALLOS
TIGE
tree shape
TREES
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Summary:In this paper, a method that requires two variables that are linearly correlated was applied to determine the sample size for fitting taper equations. Two cases of sample size estimation were tested, based on the method mentioned above. In the first case, the sample size required is referred to the total number of diameters estimated in the sampled trees. In the second case, the sample size required is referred to the number of sampled trees. The analysis showed that both methods are efficient from a validity standpoint but the first method has the advantage of decreased cost, since it costs much more to incrementally sample another tree than it does to make another diameter measurement on an already sampled tree.
ISSN:1212-4834
1805-935X
DOI:10.17221/789-jfs