Fitting the Two-Parameter Model to Personality Data
نویسندگان
چکیده
منابع مشابه
Fitting Ranked Linguistic Data with Two-Parameter Functions
It is well known that many ranked linguistic data can fit well with one-parameter models such as Zipf’s law for ranked word frequencies. However, in cases where discrepancies from the one-parameter model occur (these will come at the two extremes of the rank), it is natural to use one more parameter in the fitting model. In this paper, we compare several two-parameter models, including Beta fun...
متن کاملThree-parameter Kappa distribution and its fitting to the whole monthly rainfall data of Abali station in Tehran province
Kappa distribution is a positively skewed distribution which is used in analyzing precipitation, wind speed and streamflow data. In this paper, first a three-parameter Kappa distribution that introduced by Park et al. (2009) is studied and then four different methods of estimation including Moments, L-Moments, Maximum Likelihood and Maximum Product Spacing Method are presented in order to estim...
متن کاملTwo-step Smoothing Estimation of the Time-variant Parameter with Application to Temperature Data
‎In this article‎, ‎we develop two nonparametric smoothing estimators for parameter of a time-variant parametric model‎. ‎This parameter can be from any parametric family or from any parametric or semi-parametric regression model‎. ‎Estimation is based on a two-step procedure‎, ‎in which we first get the raw estimate of the parameter at a set of disjoint time...
متن کاملFitting circles to scattered data: parameter estimates have no moments
We study a nonlinear regression problem of fitting a circle (or a circular arc) to scattered data. We prove that under any standard assumptions on the statistical distribution of errors that are commonly adopted in the literature, the estimates of the circle center and radius have infinite moments. We also discuss methodological implications of this fact.
متن کاملFitting the Fractional Polynomial Model to Non-Gaussian Longitudinal Data
As in cross sectional studies, longitudinal studies involve non-Gaussian data such as binomial, Poisson, gamma, and inverse-Gaussian distributions, and multivariate exponential families. A number of statistical tools have thus been developed to deal with non-Gaussian longitudinal data, including analytic techniques to estimate parameters in both fixed and random effects models. However, as yet ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Psychological Measurement
سال: 1990
ISSN: 0146-6216,1552-3497
DOI: 10.1177/014662169001400105