ROBUST FACTOR ANALYSIS IN THE PRESENCE OF NORMALITY VIOLATIONS, MISSING DATA, AND OUTLIERS: EMPIRICAL QUESTIONS AND POSSIBLE SOLUTIONS

Robust factor analysis in the presence of normality violations, missing data, and outliers: Empirical questions and possible solutions

Although a mainstay of psychometric methods, several reviews suggest factor analysis is often applied without testing whether data support it, and that decision-making process or guiding principles providing evidential support texas bag ego for FA techniques are seldom reported.Researchers often defer such decision-making to the default settings on

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Automatic Modulation Classification for Adaptive OFDM Systems Using Convolutional Neural Networks With Residual Learning

Automatic modulation classification (AMC) is becoming a promising technique for future adaptive wireless transceiver systems.The existing blind modulation classification (BMC) methods for orthogonal frequency division multiplexing (OFDM) fail to achieve the required iphone 11 pro max precio miami performance by using statistical-based methods.Thus,

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Quantification of Dry Matter Content in Hass Avocado by Near-Infrared Spectroscopy (NIRS) Scanning Different Fruit Zones

Accurate dry matter determination (DM) in Hass avocados is vital for optimal harvesting and ensuring fruit quality.Predictive models based on NIRS need to capture fruit DM gradient.This work aimed to determine the DM content in Hass avocado whole by NIRS scanning different fruit zones.Spectra were recorded for each zone of the fruit: peduncle (P),

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Assessing the use of blood microRNA expression patterns for predictive diagnosis of myxomatous mitral valve disease in dogs

BackgroundMyxomatous mitral valve disease (MMVD) is a common, acquired, and progressive canine heart disease.The presence of heart murmur and current cardiac biomarkers are useful in MMVD cases but are not sufficiently discriminatory for staging an individual patient.ObjectivesThis study aimed to conduct a preliminary assessment of canine serum and

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