Results 31 to 40 of about 2,499,784 (284)
Correlating variables with different scale types: A new framework based on matrix comparisons
Methods in Ecology and Evolution, 2023 Ecological variables may be expressed on four basic measurement scales (nominal, ordinal, interval or ratio), whereas circular variables and those combining a nominal state with other scale types are also common.
János Podani +2 more
doaj +1 more source
Exploiting microvariation: How to make the best of your incomplete data [PDF]
, 2018 n this article we discuss the use of big corpuses or databases as a first step for qualitative analysis of linguistic data. We concentrate on ASIt, the Syntactic Atlas of Italy, and take into consideration the different types of dialectal data that can ...
Garzonio, Jacopo, Poletto, Cecilia
core +1 more source
Profile Likelihood and Incomplete Data [PDF]
International Statistical Review, 2010 Summary According to the law of likelihood, statistical evidence is represented by likelihood functions and its strength measured by likelihood ratios. This point of view has led to a likelihood paradigm for interpreting statistical evidence, which carefully distinguishes evidence about a parameter from error probabilities and personal belief.
openaire +3 more sources
Phase Identification With Incomplete Data [PDF]
IEEE Transactions on Smart Grid, 2018 Phase identification is a process to determine which of the three phases a particular house is connected to. The state-of-the-art identification methods usually exploit smart metering data. However, the data sets are not always available and the major challenge is hence to identify phases with incomplete data set.
Minghao Xu, Ran Li, Furong Li
openaire +1 more source
Mechanics Based Tomography: A Preliminary Feasibility Study
Sensors, 2017 We present a non-destructive approach to sense inclusion objects embedded in a solid medium remotely from force sensors applied to the medium and boundary displacements that could be measured via a digital image correlation system using a set of cameras.
Yue Mei +4 more
doaj +1 more source
Modeling Incomplete Longitudinal Data [PDF]
, 2004 This article presents a review of popular parametric, semiparametric and ad-hoc approaches for analyzing incomplete longitudinal ...
Demirtas, Hakan
core +2 more sources
Process reconstruction from incomplete and/or inconsistent data
, 2004 We analyze how an action of a qubit channel (map) can be estimated from the measured data that are incomplete or even inconsistent. That is, we consider situations when measurement statistics is insufficient to determine consistent probability ...
Bu?ek +9 more
core +1 more source
Preventing Incomplete/Hidden Requirements: Reflections on Survey Data from Austria and Brazil [PDF]
, 2015 Many software projects fail due to problems in requirements engineering (RE). The goal of this paper is analyzing a specific and relevant RE problem in detail: incomplete/hidden requirements.
B Solemon +9 more
core +3 more sources
Formal and Informal Model Selection with Incomplete Data
, 2008 Model selection and assessment with incomplete data pose challenges in addition to the ones encountered with complete data. There are two main reasons for this.
Beunckens, Caroline +2 more
core +1 more source
Econometrics, 2019 This article extends the Factor-Augmented Vector Autoregression Model (FAVAR) to mixed-frequency and incomplete panel data. Within the scope of a fully parametric two-step approach, the alternating application of two expectation-maximization algorithms ...
Franz Ramsauer +2 more
doaj +1 more source