In this paper, we study invariants and related phenomena of regular but not necessarily geometrically varieties rings over imperfect fields, as exemplified by Tate's genus change theorems. particular, (i) give a geometric-normality criterion such rings, (ii) the Picard schemes curves, (iii) define new relating to δ-invariants, changes, conductors, Jacobian numbers. As an application (iii), refi...

statistical errors are common in scientific literature and about 50% of the published articles have at least one error. the assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. the aim of this commentary is to overview checking for normality in statistical analysis using spss.

In this paper, I will investigate the potential of what term Merleau-Ponty’s ‘situated phenomenology’ for an investigation normality from within and without. First, argue that concept situation in Phenomenology Perception demarcates turn a mere epistemological to concrete critical phenomenology. Second, apply as being situated normality. doing so, endeavor differentiate between lived represente...

A topological space X is C-κ-normal (C-mildly normal ) if there exist a κ-normal (mildly normal) Y and bijective function f : → such that the restriction f|A A→ f(A) homeomorphism for each compact subspace ⊆ X. We present new results about those two properties use discrete extension to solve open problems regarding C2-paracompactness α-normality

This project describes our approach for automating the calibration stage needed by the Factorial Switching Linear Dynamical System (FSLDS) for neonatal condition monitoring. Using observations collected by the monitoring equipment, the FSLDS proposed by Prof Christopher Williams and Dr John Quinn [22] is highly successful in inferring the probability distributions of both physiological and arti...

For semi/nonparametric conditional moment models containing unknown parametric components (θ) and unknown functions of endogenous variables (h), Newey and Powell (2003) and Ai and Chen (2003) propose sieve minimum distance (SMD) estimation of (θ, h) and derive the large sample properties. This paper greatly extends their results by establishing the followings: (1) The penalized SMD (PSMD) estim...

Data collected from Kelly Blue Book for several hundred 2005 used General Motors (GM) cars allows students to develop a multivariate regression model to determine car values based on a variety of characteristics such as mileage, make, model, engine size, interior style, and cruise control. Students learn to look at residual plots to check for heteroskedasticity, normality, autocorrelation, and ...

This paper studies design schemes for the X control chart under non-normality. Different estimators of the standard deviation are considered and the effect of the estimator on the performance of the control chart under non-normality is investigated. Two situations are distinguished. In the first situation, the effect of non-normality on the X control chart is investigated by using the control l...

In the image, we address a complex image registration issue arising when the dependencies between intensities of images to be registered are not spatially homogeneous. Such a situation is frequently encountered in medical imaging when a pathology present in one of the images modifies locally intensity dependencies observed on normal tissues. Usual image registration models, which are based on a...