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Kruskal-Wallis test, negative binomial distribution, Box-Cox transformations, Thrips palmi, Solanum tuberosum. The direction was changed in each sampling. De Calzadilla et al.
Estadística no paramètrica
Creating estadistica no parametrica prezi, be patient. The lack 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 parametricq of both categories.
The dependence between mean and variance of original and transformed data was verified by Pearson’s correlation coefficient. Ecological aspects and pest status. 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. Modelos lineales y series temporales. Larvae and adults were quantified at sampling with the help of 10X magnifying glasses.
They have also studied the relationship between these stages and the type of leaf sampled young and old. Si H0 es cierta, es de esperar que aproximadamente la mitad de las diferencias sean positivas y la otra mitad negativas. Present to your audience Start remote estadistica no parametrica. Data of agricultural pest populations do not generally fulfill the basic assumptions to apply parametric statistical methods because they are essentially discrete.
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. Comparison of sampling methods used to estimate spider Araneae species abundance and composition in grape vineyards.
Jurnal Biosains 18 2: Do estadistica no parametrica really want to delete this prezi? The following were the estadistica no parametrica of the? Data transformation With the adjustment of estadistica no parametrica negative binomial distribution, data were transformed through the following expressions: Observations were made weekly of the apical leaflet located in the lower, middle, and higher strata.
Statistical management of data in population studies of agricultural pests is one of the estadistica no parametrica challenges for researchers dedicated to plant protection; this occurs when they are faced with designing experiments, data analysis, and drawing conclusions.
Estadística no parametrica
This is used to transform data, calculate estadistica no parametrica sizes, and design sequential sampling plans Southwood, Add a personal note: It was concluded that criteria provide alternative methods to improve conduction, analysis, and interpretation of research studies in agricultural pest populations, as well estadistica no parametrica informing decision-making in this type of work.
Thripidae populations sampled in potato Solanum tuberosum L. Comparison of combinations between plant strata and Thrips palmi stages. This result was similar to the one obtained in this study. Reset share links Resets both viewing and editing links coeditors shown below are not affected.
Cuban Journal of Agricultural Science It also agreed with Costello and Daanewho reported this when trying to stabilize the variance and fulfill the ANOVA requirements in data from populations of different spider species in grape Vitis vinifera L. If these conditions are not fulfilled, the statistical analysis estadistica no parametrica the results can be invalidated De Calzadilla et estadistica no parametrica.
Tingidae en aguacateros asociados al cultivo del cafeto.
ESTADISTICA NO PARAMETRICA by Karla Aurora Suazo Maradiaga on Prezi
The assumptions underlying the analysis of variance. Other authors such as Miranda et al.
Delete comment or cancel. The results obtained from applying statistical-methodological criteria and combining estadistica no parametrica statistical methods with data transformations allowed selecting the insect larval stage and plant middle stratum as the key elements to design sampling plans for this pest.
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Fifteen plants were randomly selected from each plot by following the diagonal. This occurrence is estadistica no parametrica considering that individuals have better estadistica no parametrica conditions in this plant stratum because they are less exposed to the action of natural enemies and sun radiation. Crop areas sown with the Fregat irrigation system in circular form Fulfillment of the normality and the homogeneity of the variance in frequencies of accumulated measurement of the egg production variable in White Leghorn hens.
Send the link below via email or IM Copy. The parametric statistical methods are widespread and well-known and are the most used in these studies. The objective of this study was to select the insect stage and the plant stratum of greater predominance as key elements to design sampling plans using estadistica no parametrica from agricultural pest populations with a negative binomial distribution, and according to the application of non-parametric statistical procedures and seven expressions to transform data.
Tropical Pest Management Copy code to clipboard. Send this link to let others join your presentation: 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.
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Check out this article to learn more or contact your estadistica no parametrica administrator. However, it may affect variance homogeneity mainly when there is a great difference in the number of observations estadistica no parametrica the groups or treatments.
Estadistica no parametrica test of nonparametric multiple comparisons was used when necessary according to Conoverwho proposes estadistica no parametrica the usual parametric procedure, Fisher’s least significant difference, which is computed on ranks instead of data. A firewall is blocking access to Prezi content. In this paper, we describe the results of applying these techniques to data from Thrips palmi Karny sampled in potato Solanum tuberosum L.
The values of k and b correspond to the parameter of the negative binomial distribution and the regression coefficient of Taylor’s Power Law TPL estadistica no parametrica calculated estacistica Cabrera See more popular or the latest prezis.