multivariate correlation analyses (kendall’s τ)  (SAS institute)

Journal: PLoS ONE

Article Title: Research on the insurance of swimming crab temperature and salinity index insurance based on Copula function

doi: 10.1371/journal.pone.0272940

Figure Lengend Snippet: Copula function estimation results in 24 cities.

Article Snippet: On the contrary, the Kendall- τ correlation coefficient of 9 cities such as Qinhuangdao is greater than 0, showing a trend of increasing production, while the Kendall- τ correlation coefficient of 8 cities such as Dongying is close to 0.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for different train-test dataset ratio—SI H .

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for different train-test dataset ratio—SI H,V .

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for different train-test dataset ratio—SI V .

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for the overall mobile dataset, different SI calculations (best values are marked in bold). H: horizontal, V: vertical.

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation, using LIVE mobile, stored transmission video sequences, and LIVE mobile live transmission video sequences.

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques: Transmission Assay

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for the overall frame freezing dataset, using the LIVE tablet sub-dataset for training and the LIVE mobile sub-dataset for testing.

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for different train-test dataset ratio (best values are marked in bold).

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation, before and after combining RVQM and STRRED with freezing degradations; VQM-VFD-RR and VQM-VFD-FR correlation from [ 17 ]; mobile dataset (best values are marked in bold).

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation, before and after combining RVQM and STRRED with freezing degradations; VQM-VFD-RR and VQM-VFD-FR correlation from [ 17 ]; tablet dataset (best values are marked in bold).

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for the LIVE mobile dataset—40 degraded video sequences (best values are marked in bold). Borer: no reference objective measure, FDF: no reference objective measure, FDF-RR: reduced reference objective measure, Quanhuyn: no reference objective measure.

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: No-Reference Objective Video Quality Measure for Frame Freezing Degradation

doi: 10.3390/s19214655

Figure Lengend Snippet: Kendall’s, Spearman’s, and Pearson’s correlation for the VQEG dataset—28 degraded video sequences (best values are marked in bold).

Article Snippet: As in our case, both variables x and y can have many different possible values, and Kendall’s τ b coefficient (which is also defined in Matlab as the Kendall’s correlation coefficient, τ b ) is used later in this study.

Techniques:

Journal: Journal of Medicinal Chemistry

Article Title: Selective Inhibitors of the JMJD2 Histone Demethylases: Combined Nondenaturing Mass Spectrometric Screening and Crystallographic Approaches †

doi: 10.1021/jm901680b

Figure Lengend Snippet: Correlation of nondenaturing ESI-MS analyses and inhibition results for JMJD2E inhibitors. (a) Compounds were grouped in five ranking sets reflecting the strength of binding to the JMJD2E·Fe(II)·Zn(II) complex ( E ). Rank 1: ∼1:4 ratio unbound:bound; rank 2: ∼1:2 unbound:bound; rank 3: ∼1:1 unbound:bound; rank 4: ∼4:1 unbound:bound, and rank 5: ∼10:1 unbound:bound. The MS spectra show examples of data for representative compounds from each ranking set. Some samples (11 of the 73 compounds tested) were not considered to produce spectra of sufficient quality for classification and were thus excluded from the ranking. (b) Initial rates of all compounds tested as JMJD2E inhibitors (100 μM) binding rank as determined by ESI-MS, demonstrating correlation between the two data sets. Kendall’s τ B = 0.58 ( p < 0.0001), Spearman’s ρ = 0.72 ( p < 0.0001).

Article Snippet: Statistical analyses on correlation between MS and % inhibition rankings were carried out using Kendall’s τ B and Spearman’s rank correlation tests, using StatsDirect, http://www.statsdirect.com .

Techniques: Inhibition, Binding Assay