Sökning: "ghazi"
Visar resultat 11 - 15 av 21 avhandlingar innehållade ordet ghazi.
11. Issues of Complex Hierarchical Data and Multilevel Analysis : Applications in Empirical Economics
Sammanfattning : This thesis consists of four individual essays and an introduction chapter. The essays are in the field of multilevel analysis of economic data. The first essay estimates capitalisation effects of farm attributes, with a particular focus on single farm payments (SFP), into the price of farms. LÄS MER
12. Issues of incompleteness, outliers and asymptotics in high dimensional data
Sammanfattning : This thesis consists of four individual essays and an introduction chapter. The essays are in the field of multivariate statistical analysis of High dimensional data. The first essay presents the issue of estimating the inverse covariance matrix alone and when it is used within the Mahalanobis distance in High-dimensional data. LÄS MER
13. On the Measurement of Model Fit for Sparse Categorical Data
Sammanfattning : This thesis consists of four papers that deal with several aspects of the measurement of model fit for categorical data. In all papers, special attention is paid to situations with sparse data. LÄS MER
14. Essays on statistical testing using Wavelet methodologies
Sammanfattning : This thesis consists of five essays on the application of wavelet methodology to different tests in time series analysis. Essay I proposes a nonlinear Dickey-Fuller F test for unit roots against the first order Logistic Smooth Transition Autoregressive LSTAR (1) model. LÄS MER
15. Testing for Unit Root against LISTAR Model : Wavelet Improvement under GARCH Distortion
Sammanfattning : In this paper we propose a Nonlinear Dickey-Fuller F test for unit root against first order Logistic Smooth Transition Autoregressive LISTAR (1) model with time as the transition variable. The Nonlinear Dickey-Fuller F test statistics is established under the null hypothesis of random walk without drift and the alternative model is a nonlinear LSTAR (1) model. LÄS MER