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Concept

One- and two-tailed tests

Related publications (16)

Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure

Anastasios Vassilopoulos

A probabilistic model for estimating the fatigue life of composite laminates based on the mean value and standard deviation of the fatigue life is introduced here for predicting the distribution of fatigue life at any stress level for a constant stress rat ...

ELSEVIER SCI LTD2022

Search for B+ -> mu(+)nu(mu) and B+ -> mu N+ with inclusive tagging

Mingkui Wang, Olivier Schneider, Chao Wang, Sun Hee Kim

We report the result for a search for the leptonic decay of B+ -> mu(+)nu mu using the full Belle dataset of 711 fb(-1) of integrated luminosity at the gamma(4S) resonance. In the Standard Model leptonic B-meson decays are helicity and Cabibbo-Kobayashi-Ma ...

American Physical Society2020

The detection of two-component mixture alternatives : Theory and methods

Daria Rukina

In this thesis, we deal with one of the facets of the statistical detection problem. We study a particular type of alternative, the mixture model. We consider testing where the null hypothesis corresponds to the absence of a signal, represented by some kno ...

EPFL2018

Graph Signal Processing Of Human Brain Imaging Data

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

Modern neuroimaging techniques offer disctinct views on brain structure and function. Data acquired using these techniques can be analyzed in terms of its network structure to identify organizing principles at the systems level. Graph representations are f ...

IEEE2018

Indicators of Evidence for Bioequivalence

Stephan Morgenthaler, Robert Staudte

Some equivalence tests are based on two one-sided tests, where in many applications the test statistics are approximately normal. We define and find evidence for equivalence in Z-tests and then one-and two-sample binomial tests as well as for t-tests. Mult ...

Mdpi Ag2016

Multiple comparisons procedures for complex dependent data with application to study human brain complex network properties

Djalel Eddine Meskaldji

We consider the problem of testing positively dependent multiple hypotheses, assuming that prior information about the dependence structure is available. We propose two-step multiple comparisons procedures that exploit the prior information of the dependen ...

2015

Improved methodology and set-point design for diagnosis of model-plant mismatch in control loops using plant-model ratio

Alireza Karimi

Performance of any model-based control scheme depends on the quality of model. When these schemes deliver poor loop performance due to model-plant mismatch (MPM), a detection of the same needs to be in place. A recently introduced plant model ratio (PMR) n ...

Elsevier2014

On preferred axes in WMAP cosmic microwave background data after subtraction of the integrated Sachs-Wolfe effect

Anaïs Marie Rassat

There is currently a debate over the existence of claimed statistical anomalies in the cosmic microwave background (CMB), recently confirmed in Planck data. Recent work has focussed on methods for measuring statistical significance, on masks and on seconda ...

Edp Sciences S A2013

Model-fitting in the presence of outliers

Jayakrishnan Unnikrishnan

We study the problem of parametric model-fitting in a finite alphabet setting. We characterize the weak convergence of the goodness-of-fit statistic with respect to an exponential family when the observations are drawn from some alternate distribution. We ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Applying the Multivariate Time-Rescaling Theorem to Neural Population Models

Joao Emanuel Felipe Gerhard

Statistical models of neural activity are integral to modern neuroscience. Recently interest has grown in modeling the spiking activity of populations of simultaneously recorded neurons to study the effects of correlations and functional connectivity on ne ...

Massachusetts Institute of Technology Press2011

Digital Urban Morphometrics: Automatic Extraction and Assessment of Morphological Properties of Buildings

François Golay, Claudio Magalhaes Carneiro

The aim of this article is to present a method to calculate the morphological properties of the built environment using LiDAR (light-detection and ranging) data, geographic information systems (GIS) data and three-dimensional (3D) models of cities as a sou ...

Wiley-Blackwell2010

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models

Wulfram Gerstner, Joao Emanuel Felipe Gerhard

Generalized Linear Models (GLMs) are an increasingly popular framework for modeling neural spike trains. They have been linked to the theory of stochastic point processes and researchers have used this relation to assess goodness-of-fit using methods from ...

Massachusetts Institute of Technology Press2010

A methodology (CUPRITE) for urban network travel time estimation by integrating multisource data

Ashish Bhaskar

Travel time is an important network performance measure and it quantifies congestion in a manner easily understood by all transport users. In urban networks, travel time estimation is challenging due to number of reasons such as, fluctuations in traffic fl ...

EPFL2009

Validity and Reliability of a French Version of the Metacognitions Questionnaire in a Nonclinical Population

We investigated the psychometric properties of a French translation of the Metacognitions Questionnaire (MCQ). 265 participants from the French-speaking population of Belgium completed the MCQ. Construct validity was assessed by means of a factor analysis, ...

2009

Phase estimation methods and their application to holographic interferometry

Rajesh Langoju

Phase of the interference fringe pattern is known to convey important information in optical metrology. Typically, phase measurement using temporal techniques involves incorporating a piezoelectric device (PZT) in one arm of the interferometer for shifting ...

EPFL2006

Forensic automatic speaker recognition using Bayesian interpretation and statistical compensation for mismatched conditions

Anil Alexander

Nowadays, state-of-the-art automatic speaker recognition systems show very good performance in discriminating between voices of speakers under controlled recording conditions. However, the conditions in which recordings are made in investigative activities ...

EPFL2005