Search results for "PROB"
showing 10 items of 8859 documents
Modeling long-range memory with stationary Markovian processes
2009
In this paper we give explicit examples of power-law correlated stationary Markovian processes y(t) where the stationary pdf shows tails which are gaussian or exponential. These processes are obtained by simply performing a coordinate transformation of a specific power-law correlated additive process x(t), already known in the literature, whose pdf shows power-law tails 1/x^a. We give analytical and numerical evidence that although the new processes (i) are Markovian and (ii) have gaussian or exponential tails their autocorrelation function still shows a power-law decay =1/T^b where b grows with a with a law which is compatible with b=a/2-c, where c is a numerical constant. When a<2(1+c) th…
Probing the origin of ultra-high-energy cosmic rays with neutrinos in the EeV energy range using the Pierre Auger Observatory
2019
Neutrinos with energies above 1017 eV are detectable with the Surface Detector Array of the Pierre Auger Observatory. The identification is efficiently performed for neutrinos of all flavors interacting in the atmosphere at large zenith angles, as well as for Earth-skimming τ neutrinos with nearly tangential trajectories relative to the Earth. No neutrino candidates were found in ∼ 14.7 years of data taken up to 31 August 2018. This leads to restrictive upper bounds on their flux. The 90% C.L. single-flavor limit to the diffuse flux of ultra-high-energy neutrinos with an Eν -2 spectrum in the energy range 1.0 × 1017 eV -2.5 × 1019 eV is E2 dNν/dEν < 4.4 × 10-9 GeV cm-2 s-1 sr-1, placing str…
The relationship among beliefs about problem solving, epistemological beliefs, grade level, sex, and problem solving achievement: A study in secondar…
2020
The first purpuse of this investigation was to study the effects of sex and grade level on secondary students’ beliefs about epistemology and problem solving. The second purpuse was to analyze the contribution of both belief systems, grade level, and sex to problem solving achievement. One hundred and forty-four High School students, 9th and 11th grade students, took part in the study. Two questionnaires (Schommer and StageKloosterman’s questionnaires) and a problem solving test (two word problems of the PISA tests) were administered to these students. Two ANOVAs, an ANCOVA, and a multiple regression analysis were carried out from data obtained in the investigation. In the light of the fore…
Supplementary material 13 from: Van Cann J, Virgilio M, Jordaens K, De Meyer M (2015) Wing morphometrics as a possible tool for the diagnosis of the …
2015
Individual assignments to genotypic clusters A, F1, F2, R1, R2: Explanation note: Posterior group membership probabilities (PGMPs) of male and female specimens as resulting from Discriminant Analysis of Principal Coordinates of wing landmarks (upper) or wing band areas (lower). Prior groups: A, F1, F2, R1, R2 (from white to dark blue).
Supplementary material 11 from: Van Cann J, Virgilio M, Jordaens K, De Meyer M (2015) Wing morphometrics as a possible tool for the diagnosis of the …
2015
Constrained ordination of wing band areas: Explanation note: Discriminant analysis of principal coordinates (DAPC) maximising morphometric differences in wing band areas between males and females (a) Ceratitis anonae, Ceratitis fasciventris and Ceratitis rosa and (b) genotypic clusters A, F1, F2, R1, R2.
Supplementary material 8 from: Van Cann J, Virgilio M, Jordaens K, De Meyer M (2015) Wing morphometrics as a possible tool for the diagnosis of the C…
2015
Unconstrained ordination of wing landmarks: Explanation note: Principal component analysis (PCA) showing morphometric differences in wing landmarks between males and females (a) Ceratitis anonae, Ceratitis fasciventris and Ceratitis rosa and (b) genotypic clusters A, F1, F2, R1, R2.
Supplementary material 4 from: Van Cann J, Virgilio M, Jordaens K, De Meyer M (2015) Wing morphometrics as a possible tool for the diagnosis of the C…
2015
Wing landmarks and wing band areas: Explanation note: Position of wing landmarks and wing band areas (numbers according to Suppl. material 3).
Supplementary material 12 from: Van Cann J, Virgilio M, Jordaens K, De Meyer M (2015) Wing morphometrics as a possible tool for the diagnosis of the …
2015
Average individual assignments: Explanation note: Average individual posterior group membership probabilities (PGMPs) of male and female specimens of three morphospecies (Ceratitis anonae, Ceratitis fasciventris and Ceratitis rosa) and five genotypic clusters (A, F1, F2, R1, R2) as resulting from the analysis of wing landmarks (light grey) and wing band areas (dark grey).
Supplementary material 2 from: Van Cann J, Virgilio M, Jordaens K, De Meyer M (2015) Wing morphometrics as a possible tool for the diagnosis of the C…
2015
Map of sampling locations: Explanation note: Number of sampled specimens for each morphospecies are indicated in parentheses.
Supplementary material 9 from: Van Cann J, Virgilio M, Jordaens K, De Meyer M (2015) Wing morphometrics as a possible tool for the diagnosis of the C…
2015
Unconstrained ordination of wing band areas: Explanation note: Principal component analysis (PCA) showing morphometric differences in wing band areas between males and females (a) Ceratitis anonae, Ceratitis fasciventris and Ceratitis rosa and (b) genotypic clusters A, F1, F2, R1, R2.