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Measuring questions: relevance and its relation to entropy

Physics – Data Analysis – Statistics and Probability
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Measuring the Dynamical State of the Internet: Large Scale Network Tomography via the ETOMIC Infrastructure

Physics – Data Analysis – Statistics and Probability
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Measuring the Hierarchy of Feedforward Networks

Physics – Data Analysis – Statistics and Probability
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Measuring Urban Sprawl Based on Massive Street Nodes and the Novel Concept of Natural Cities

Physics – Data Analysis – Statistics and Probability
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Mechanism for linear preferential attachment in growing networks

Physics – Data Analysis – Statistics and Probability
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Median Algorithm for Sector Spectra Calculation from Images Registered by the Spectral Airglow Temperature Imager

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Medium and Small Scale Analysis of Financial Data

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Memory Effects and Scaling Properties of Traffic Flows

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Memory functions and Correlations in Additive Binary Markov Chains

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Mental States as Macrostates Emerging from EEG Dynamics

Physics – Data Analysis – Statistics and Probability
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Mesoscopic analysis of networks: applications to exploratory analysis and data clustering

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Method of reconstructing a moving pulse

Physics – Data Analysis – Statistics and Probability
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Methods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform

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Methods of Measuring Physical Characteristics of Partial Components of Multicomponent Samples

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Microcanonical processing methodology for ECG and intracardial potential: application to atrial fibrillation

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Microdynamics in stationary complex networks

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Millisecond and Binary Pulsars as Nature's Frequency Standards. II. Effects of Low-Frequency Timing Noise on Residuals and Measured Parameters

Physics – Data Analysis – Statistics and Probability
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Millisecond and Binary Pulsars as Nature's Frequency Standards. III. Fourier Analysis and Spectral Sensitivity of Timing Observations to Low-Frequency Noise

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Minimal information in velocity space

Physics – Data Analysis – Statistics and Probability
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Minimum Entropy Density Method for the Time Series Analysis

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