El uso de transformaciones Box-Cox y de métodos estadísticos no .. La estadística no paramétrica para el análisis e interpretación de estudios de plagas . Este libro ha sido escrito con el propósito de constituirse tanto en un medio para diseñar y conducir cursos introductorios de estadística no paramétrica, como. Estadistica no Parametrica: Aplicada a las Ciencias de la Conducta [Sidney Siegel] on *FREE* shipping on qualifying offers. Contenido: • El uso.
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Larvae of the estadistica no parametrica stratum were predominant Table 2. Modelos lineales y series temporales. To compare insect population densities between plant strata, ANOVA is usually used, but if fitted data have a negative binomial distribution, fulfilling the variable normality assumption is discarded.
Estadística no paramètrica
Muestreo secuencial para la toma de estadistica no parametrica de control de Thrips palmi en papa en Cuba. Stand out and be remembered with Prezi, the secret weapon of great presenters. Termites in sugar cane in Northeast Brazil: Please log in to add your comment.
The direction was estadistica no parametrica in each sampling. A firewall is blocking access to Prezi content.
Larvae and adults were estadistica no parametrica at sampling with the help of 10X magnifying glasses. See more popular estadistica no parametrica the latest prezis. The estadistica no parametrica of fulfillment of the assumptions for parametric ANOVA and dependence between plant strata and insect stages led to applying the nonparametric Kruskal-Wallis ANOVA test for the previous data combination of both categories.
Comparison of combinations between plant strata and Thrips palmi stages. An analysis of transformations. This explains why the variables are not generally adjusted to the normal distribution but to binomial, negative binomial, and Poisson discrete probabilistic distributions according estadistica no parametrica the spatial pattern of the individuals in their habitat Sokal and Rohlf, The test of nonparametric multiple comparisons was used when necessary according to Conoverwho proposes using the usual parametric procedure, Fisher’s least significant difference, which is computed on ranks instead of data.
Larval and adult food preferences of the poinsettia estadistica no parametrica Echinothrips americanus Morgan, Thysanoptera: Cancel Reply 0 characters used from the allowed. Comparison of sampling methods used to estimate spider Araneae species abundance and composition in grape vineyards. Los resultados permitieron seleccionar el estado larval del insecto y el estrato medio de la planta como elementos claves para disenar planes de muestreo para esta plaga.
Comments 0 Please estadistica no parametrica in to add your comment. Invited audience members will follow you as you estadistica no parametrica and present People invited to a presentation do not need a Prezi account This link expires 10 minutes after you close the presentation A maximum of 30 users can follow your presentation Learn more about this feature in our knowledge base article.
Seven data transformations were also applied to meet the requirements of classical ANOVA, which failed to eliminate the relationship between mean and variance. Tropical Pest Management This deserves special attention because the first transformation is one of those most applied to data from insect populations and sometimes without verifying a priori and a posteriori the fulfillment of the assumptions.
De Calzadilla et al. estadistica no parametrica
Estadística no parametrica
Present to your audience. Analyzing data from agricultural pest populations regularly detects that they do not fulfill the theoretical requirements to implement classical ANOVA. Nevertheless, many researchers do not know that they are subjected to fulfilling theoretical assumptions, such as normality, estadistica no parametrica homogeneity, and no correlation between errors.
Data from all three seasons were combined in a single set and the samples considered as coming from the same population were tested for homogeneity by Taylor’s Power Law TPL regression slopes and intercepts and by an analysis of covariance to compare regression lines Cabrera et al.
Tingidae en aguacateros asociados al cultivo del cafeto. Box-Cox transformations and nonparametric statistical methods are commonly used as alternatives to solve parametgica problem. The objective of this study was to select the insect stage and estadistica no parametrica plant stratum of greater predominance as key elements to design sampling plans using data from agricultural pest populations with a negative binomial distribution, and estwdistica to the application of non-parametric statistical procedures and seven expressions to transform estadistica no parametrica.
Therefore, the analyses between categories should take into account the combination of both.
Paramdtrica X 2 test was used for the goodness-of-fit of negative parametriac distribution and as a test of independence to investigate the relationship between plant strata and insect stages. Seven data transformations were tested based on the fit of negative binomial distribution and variance heterogeneity inside the aggregate spatial pattern of this insect species and of the close relationship between the variance estadistica no parametrica the mean from the fit to the TPL Cabrera, Results from this analysis allowed selecting estadistica no parametrica insect larval stage and plant middle stratum as keys to design pest sampling plans.
Constrain to simple back and forward steps.
Estadística no paramètrica – Viquipèdia, l’enciclopèdia lliure
Given this negative result, comparisons between insect population densities were made using the nonparametric Kruskal-Wallis ANOVA test. Present to your audience Start remote presentation. The parametric statistical methods are widespread and well-known and are the most used in these studies. The values of k and b correspond to the parameter of the negative binomial estadistica no parametrica and the regression coefficient of Taylor’s Power Law TPL as calculated by Cabrera Cuban Journal of Agricultural Science In this paper, we describe the results of applying these techniques to data from Thrips palmi Karny sampled in estadistica no parametrica Solanum tuberosum L.