Environmental and geographical factors affecting the Iberian
... of correctly predicted negative cases to the total number of negative cases), was used to measure the performance of models. To compare observed and predicted maps, the continuous probability variable generated by logistic regression should be converted to a binary one (presence /absence), selecting ...
... of correctly predicted negative cases to the total number of negative cases), was used to measure the performance of models. To compare observed and predicted maps, the continuous probability variable generated by logistic regression should be converted to a binary one (presence /absence), selecting ...
Multivariate Data Analysis
... Logistic regression: - the underlying distribution is binomial and LS do not suffice for estimating α and β. Maximum likelihood: an iterative procedure to compute values of α and β which maximize the probability that the observed values of the dependent variable in the data set may be predicted from ...
... Logistic regression: - the underlying distribution is binomial and LS do not suffice for estimating α and β. Maximum likelihood: an iterative procedure to compute values of α and β which maximize the probability that the observed values of the dependent variable in the data set may be predicted from ...
Surrogate model of BNS waveforms for measuring the EOS
... • Fixed cost of ~50 ms for computing surrogate (not optimized) • Additional cost for resampling to desired frequencies (interpolation) • Faster than all waveforms in LALSuite (written in C) below ~18 Hz ...
... • Fixed cost of ~50 ms for computing surrogate (not optimized) • Additional cost for resampling to desired frequencies (interpolation) • Faster than all waveforms in LALSuite (written in C) below ~18 Hz ...
Mixture Models - CMU Statistics
... In Chapter 18, we looked at principal components analysis, which finds linear structures with q space (lines, planes, hyper-planes, . . . ) which are good approximations to our p-dimensional data, q � p. In Chapter 19, we looked at factor analysis, where which imposes a statistical model for the dis ...
... In Chapter 18, we looked at principal components analysis, which finds linear structures with q space (lines, planes, hyper-planes, . . . ) which are good approximations to our p-dimensional data, q � p. In Chapter 19, we looked at factor analysis, where which imposes a statistical model for the dis ...
MSword - Forest Measurements and Biometrics
... Is this a measurement error? E.g., a tree height of 100 m is very unlikely Is a transcription error? E.g. for adult person, a weight of 20 lbs was entered rather than 200 lbs. Is there something very unusual about this point? e.g., a bird has a short beak, because it was damaged. Try to fix th ...
... Is this a measurement error? E.g., a tree height of 100 m is very unlikely Is a transcription error? E.g. for adult person, a weight of 20 lbs was entered rather than 200 lbs. Is there something very unusual about this point? e.g., a bird has a short beak, because it was damaged. Try to fix th ...
Economic Duration Data and Hazard Functions
... mathematically equivalent specification in terms of a probabilitydistribution.The two specifications involve the same parameters and are simply two different ways of describing the same system of probabilities. Thus, the hazardfunction approach does not identify new parameters. As we will see, the l ...
... mathematically equivalent specification in terms of a probabilitydistribution.The two specifications involve the same parameters and are simply two different ways of describing the same system of probabilities. Thus, the hazardfunction approach does not identify new parameters. As we will see, the l ...
