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Convergence of turbulence statistics: random error of central moments computed from correlated data
A new formula is derived for the random error of sample central moments from correlated data which does not assume an underlying distribution and is...
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Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise
We address the issue of detecting hidden periodicity when the signal exhibits periodic correlation, but is additionally affected by non-Gaussian...
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Statistics
Statistics provides methods for develo** actionable knowledge from raw data. We review the key Python modules used for statistics. Building upon...
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Eigenvalue-Based Spectrum Sensing Under Correlated Noise for Multi-dimensional Cognitive Radio Receiver
Spectrum sensing is a fundamental stage in cognitive radio networks. The eigenvalue-based spectrum sensing is an optimum blind sensing scheme for...
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Greedy selection of sensors with measurements under correlated noise
We address the sensor selection problem where linear measurements under correlated noise are gathered at the selected nodes to estimate the unknown...
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Statistics
This chapter gives definitions and basics on statistics, as mean standard deviation, trueness, accuracy, uncertainty … The relation of test result...
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Probabilistic analysis of nonlinear oscillators under correlated multi-power velocity multiplicative excitation and additive excitation
This paper adopts an optimization-oriented exponential-polynomial-closure (OEPC) approach for conducting probabilistic analyses of oscillators under...
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A novel uncertainty propagation and probability assessment method for the frequency response function involving correlated uncertainties
Uncertainty propagation of the frequency response function is crucial for vibration problems such as model calibration, and the probability...
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Non-Gaussian Statistics of Mechanically Generated Unidirectional Irregular Waves
An experimental study is presented on the non-Gaussian statistics of random unidirectional laboratory wave fields described by JONSWAP spectra....
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Modified Matrix Decomposition Method for Generating Multivariate Three-Dimensional Cross-Correlated Random Fields
It is essential to generate multivariate three-dimensional cross-correlated random fields since the spatial variability of geomaterials has a great...
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Class-structure preserving multi-view correlated discriminant analysis for multiblock data
With the rapid development in data acquisition methods, multiple data sources are now becoming available to explain different views of an object....
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A Comparison of Student Engagement Across Three Teaching Modalities in an Introductory Statistics Course
Most educators agree there is a strong positive correlation between student engagement and student success. However, there is a dearth of scholarship...
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Detection of Spatially Correlated Time Series
This chapter extends the problem of null hypothesis testing for linear independence between random variables to the problem of testing for linear...
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What Do Descriptive Statistics Tell Us
Prior to analyzing any data set, it is important to first understand the data. Descriptive statistics presents data in a meaningful way for the...
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Machine Learning Control Charts for Monitoring Serially Correlated Data
Some control charts based on machine learning approaches have been developed recently in the statistical process control (SPC) literature. These...
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Equivalent Load Generation from Vehicle RLDA Data Using Time-Correlated Damage Editing and Representative Frequency Band Components Methods
This paper aims for generating an equivalent load signal for the durability analysis of a heavy-duty vehicle using a signal processing technique....
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A high-quality feature selection method based on frequent and correlated items for text classification
The feature selection problem is a significant challenge in pattern recognition, especially for classification tasks. The quality of the selected...
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Impact of Learning Data Statistics on the Performance of a Recommendation System Based on MovieLens Data
Recommendation systems are an efficient way to improve user satisfaction on the internet and personalise web services. They use various algorithms to...
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Study on Meso-Fracture Behavior and Fractal Characteristics of Sandstone with Different Particle Sizes under Compression-Shear Test Conditions
In order to explore the micro-cracking behavior and fractal characteristics of sandstone with different particle sizes under the condition of...
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Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization
Recently, cascaded pose regression has attracted more and more attention because of its superior performance in facial sign localization and...