Sökning: "Least mean squares"
Visar resultat 21 - 25 av 51 uppsatser innehållade orden Least mean squares.
21. Statistical learning procedures for analysis of residential property price indexes
Master-uppsats, KTH/Matematisk statistikSammanfattning : Residential Price Property Indexes (RPPIs) are used to study the price development of residential property over time. Modeling and analysing an RPPI is not straightforward due to residential property being a heterogeneous good. LÄS MER
22. Evaluating spatial mapping using interpolation techniques
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : In this thesis, the inverse distance weighting, different kriging methods, ordinary least squares and two variants of the geographically weighted regression was used to evaluate the spatial mapping abilities on an observed dataset and a simulated dataset. The two datasets contain the same bioclimatic variable, near-surface air temperature, uniformly distributed over the whole world. LÄS MER
23. Copula selection and parameter estimation in market risk models
Master-uppsats, KTH/Matematisk statistikSammanfattning : In this thesis, literature is reviewed for theory regarding elliptical copulas (Gaussian, Student’s t, and Grouped t) and methods for calibrating parametric copulas to sets of observations. Theory regarding model diagnostics is also summarized in the thesis. LÄS MER
24. Passive Inter-modulation Cancellation in FDD System
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Passive inter-modulation (PIM) shows up when two or more RF signals are mixed together via the nonlinear passive devices. With the rapid development and expansion of the wireless com-munication networks, PIM is recognized as one of the most critical issues. LÄS MER
25. A Mixed Frequency Steady-State Bayesian Vector Autoregression: Forecasting the Macroeconomy
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : This thesis suggests a Bayesian vector autoregressive (VAR) model which allows for explicit parametrization of the unconditional mean for data measured at different frequencies, without the need to aggregate data to the lowest common frequency. Using a normal prior for the steady-state and a normal-inverse Wishart prior for the dynamics and error covariance, a Gibbs sampler is proposed to sample the posterior distribution. LÄS MER