Let be a random sample from a normal distribution with unknown mean and known variance The usual estimator of the mean, i.e., sample mean is the maximum likelihood estimator which under squared error loss function is minimax and admissible estimator. In many practical situations, is known in advance to lie in an interval, say for some In this case, the maximum likelihood estimator...

Inferential confusion has been defined as a confusion between reality and possibility, where the person with Obsessive–Compulsive Disorder (OCD) persists in his/her obsessional belief despite sense information to the contrary. The current study investigates whether inferential confusion is associated with treatment outcome in an OCD sample receiving cognitive–behavioral therapy (CBT). Results i...

Many conditionals seem to convey the existence of a link between their antecedent and consequent. We draw on a recently proposed typology of conditionals to argue for an old philosophical idea according towhich the link is inferential in nature. We show that the proposal has explanatory force by presenting empirical results on the evidential meaning of certain English and Dutch modal expressions.

In this article, we consider statistical inference for high-dimensional approximate factor models. We posit a weak structure, in which the loading matrix can be sparse and signal eigenvalues may diverge more slowly than cross-sectional dimension, N. propose novel inferential procedure to decide whether each component of loadings is zero or not, prove that controls false discovery rate (FDR) bel...

Salah satu hal penting dalam analisis statistik adalah prosedur estimasi suatu fungsi padat peluang yang biasa disebut densitas. Ada dua metode pendekatan biasanya digunakan, yaitu parameter terkait dengan asumsi distribusi tertentu dan densitas secara non parametrik. Metode parametrik sering kita jumpai histogram.
 Beberapa kelemahan histogram menjadi acuan untuk dikembangkannya lain kern...