Consistent Parameter Estimation for Lagged Multilevel Models

نویسندگان

چکیده

The estimation of parameters lagged multilevel mod- els is considered. This type model used in many application areas, including psychology and education, where changes test re- sults over time can be modelled. Standard techniques are shown to give inconsistent results for this formulation the multi- level model. For two simple assumptions concerning nature covariate a first second difference instrument methods consistent developed. Simulations demon- strate their success obtaining parameter estimates. Use with more complex models

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Consistent Parameter Estimation for Lagged Multilevel Models

The estimation of parameters of lagged multilevel models is considered. This type of model is used in many application areas, including psychology and education, where changes in test results over time can be modelled. Standard estimation techniques are shown to give inconsistent results for this formulation of the multilevel model. For two simple assumptions concerning the nature of the model ...

متن کامل

Consistent parameter estimation in general stochastic block models with overlaps

This paper considers the parameter estimation problem in Stochastic Block Model with Overlaps (SBMO), which is a quite general instance of random graph model allowing for overlapping community structure. We present the new algorithm successive projection overlapping clustering (SPOC) which combines the ideas of spectral clustering and geometric approach for separable non-negative matrix factori...

متن کامل

Consistent Parameter Estimation for Conditional Moment Restrictions

In estimating conditional moment restrictions, a well known difficulty is that the estimator based on a set of implied unconditional moments may lose its consistency when the parameters of interest are not globally identified. In this paper, we consider a continuum of unconditional moments that are equivalent to the postulated conditional moments and can identify the parameters of interest. We ...

متن کامل

A Consistent Estimator for Uniform Parameter Under Interval Censoring

‎The censored data are widely used in statistical tests and parameters estimation‎. ‎In some cases e.g‎. ‎medical accidents which data are not recorded at the time of occurrence‎, ‎some methods such as interval censoring are used‎. ‎In this paper‎, ‎for a random sample uniformly distributed on the interval (0,θ) ‎the interval censoring have been used‎. ‎A consistent estimator of θ  and some asy...

متن کامل

Parameter estimation for neuron models

Methods for estimating parameters of the Hindmarsh-Rose (HR) neuron model from a single time series are investigated. Two approaches, (1) synchronization based parameter estimation and (2) adaptive observer, are presented. Both methods are applied to membrane potential data recorded from a single lateral pyloric neuron synaptically isolated from other neurons.

متن کامل

ذخیره 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: Journal of data science

سال: 2021

ISSN: ['1680-743X', '1683-8602']

DOI: https://doi.org/10.6339/jds.2003.01(2).117