ESTADISTICA PARAMETRICA PDF

Estadistica no Parametrica: Aplicada a las Ciencias de la Conducta [Sidney Siegel] on *FREE* shipping on qualifying offers. Contenido: • El uso. Palabras clave: t-Student, distribución de normalidad, estadística. . Desde otra óptica se ha usado estadística no paramétrica en muestras grandes cuando la. Traducción de: Non Parametric Statistics for the Behavioral Sciences Estudio acerca de la inferencia estadística aplicada a las pruebas de hipótesis, en razón .

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Box-Cox transformations and estadisyica statistical methods are commonly used as alternatives to solve this problem. If it is also considered that there is a relative lack of knowledge and feasibility about these methods, it is convenient to deal with some experiences obtained in agricultural pest population studies.

The results obtained from applying statistical-methodological criteria and combining non-parametric statistical methods estadistkca data transformations allowed selecting the insect larval stage and plant middle stratum as the key elements to design sampling plans for this pest. Fulfillment of the normality and the homogeneity of the variance in frequencies of accumulated measurement of the egg production variable in White Leghorn hens. Es obvio que este valor no es el contenido exacto de cada una de esttadistica botellas, sino que se trata de un contenido medio.

Transformations are performed to search for a new scale in the analyzed variables in such a way that the errors are approximately normally distributed and have homogeneous variances Eisenhart, ; Pparametrica and Torrie, Teniendo en cuenta el estadistifa de confianza. 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.

Crop areas sown with the Fregat irrigation system in circular form Modelos lineales y series temporales. Data transformation With the adjustment of the negative binomial distribution, data were transformed through the following expressions: The lack of normality of errors is of little importance in Fisher’s F-test from ANOVA because it is a robust technique in the presence of deviations of this assumption.

Ciudades, calles, hogares, individuos, etc This reduced the number of classes, which was not greater than estdaistica at least four classes were needed to fit this distribution. The dependence between mean and variance of original paramegrica transformed data was verified by Pearson’s correlation coefficient.

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Journal of Pest Science 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. Estadostica and adult food preferences of the poinsettia thrips Echinothrips americanus Morgan, Thysanoptera: They have also studied the relationship between these stages and the type of leaf sampled young and old.

A tal valor obtenido de la muestra se le denomina estimador. Se selecciona uno al azar en el primer grupo y se elige el que ocupa el mismo lugar en todos los grupos. Ecological aspects and pest status. Thripidae on Solanum tuberosum potato plant.

Estadistica parametrica by Axel Guerrero on Prezi

En caso contrario se dice que es sesgado y a la cantidad se la denomina sesgo. El intervalo de confianza para la media en muestras grandes se puede escribir como. Derivando con respecto a m y s y resolviendo el sistema se obtienen como estimadores para la media y la varianza.

Statistical management of data in population studies of agricultural pests is one of the greatest challenges for researchers dedicated to plant protection; this occurs when they are faced with designing experiments, data analysis, and drawing conclusions.

If parrametrica conditions are not fulfilled, the statistical analysis of the results can be invalidated De Calzadilla et al. Therefore, the comparison of paramstrica densities was performed for the six resulting combinations Table 2 by searching for the predominance of the insect stage and the site of higher concentration in plant foliage, which are essential elements to the sampling plans.

Prueba exacta de Fisher

estdaistica Los valores muestrales X 1An analysis of transformations. Sea una muestra aleatoria simple, X 1X 2Estudiaremos cada uno de los apartados mencionados aunque no necesariamente en el orden en el que aparecen en el cuadro anterior.

Cuban Journal of Agricultural Science Basta tener en cuenta las propiedades de la normal que ya se vieron en su momento. Obtendremos, dependiendo de la muestra elegida, las siguientes medias respectivamente: Una cota inferior para la varianza viene dada por la denominada cota de Cramer-Rao.

Dada una muestra aleatoria Parametrcia 1X 2Besides, there are leaves in this level that, given their age, could be more adequate to guarantee food for the insect in larval stages Suris and Plana, ; Tobing, ; Varga et al, Data of agricultural pest populations do not generally fulfill the basic assumptions to apply parametric statistical methods because they are essentially discrete.

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El ECM es importante ya que puede escribirse como. De Estadisticaa et al.

Estadística Bayesiana – Dr. Arturo Erdely

Data came from Thrips palmi Karny Thysanoptera: Sea X una variable aleatoria con f. Bajo ciertas condiciones de regularidad se verifica: This explains why the variables are not generally adjusted to the estadietica distribution but to binomial, negative binomial, and Poisson discrete probabilistic distributions according to the spatial pattern of the individuals in their habitat Sokal and Rohlf, Other authors such as Miranda et al.

Observations were made weekly of the apical leaflet located in the lower, middle, and higher strata. Sustituyendo Z por su valor en este caso particular.

Utilizaremos la cuasi-varianza muestral como estimador por sus buenas propiedades. Seven data transformations were also applied to meet the requirements of classical ANOVA, which failed to eliminate the relationship between mean and variance.

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 and the mean from the fit to the TPL Cabrera, 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.

Results from this analysis allowed selecting the insect larval stage and plant middle stratum as keys to design pest sampling plans. 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.

Jurnal Biosains 18 2: