Sentence examples for jd degrees from inspiring English sources

He earned both Ph.D. and JD degrees from the UC Berkeley.

aIncludes Masters, Doctoral, and Profession (MD, JD) degrees.

A random variable followed non-central F distribution with p and ν j degrees of freedom and non-centrality parameter τ j.

The proposed TPE precoding never surpasses the RZF performance, which is noteworthy since TPE has J degrees of freedom that can be optimized (see Section 5.1), while RZF only has one design parameter.

Let γ j be the signal-to-noise ratio (SNR) computed at the j th node, defined as γ j ~ 1 M j ∑ i = 1 M j s j i 2. Since n j i ~ N ( 0, 1 ), the random variable Y j can be expressed as: Y j ~ χ M j 2, under H 0 χ M j 2 ( λ j ), under H 1. where χ M j 2 denotes a central chi-squared distribution with M j degrees of freedom and λ j = M j γ j is the non-centrality parameter.

This test statistic is asymptotically chi-squared with (Σ J{ p } - J) degrees of freedom.

Little's proposed test statistic when Σ is unknown is, and is asymptotically chi-squared with (Σ J{ p } - J) degrees of freedom [ 11].

For each pair of nodes i, j in an undirected network, we define the topological overlap O i, j) as: O i j = l i j min ⁡ (k i, k j ) where l ij denotes the number of common neighbors of i and j (plus 1 if there is an edge between i and j) and [min k i, k j )] is the smaller of the k i and k j degrees [ 26].

where k i k j are degrees of vertex i and vertex j.

The objective function J f is alternately optimized using the parameters u ij and c j (membership degrees and the cluster centers) by setting the derivative of J f with respect to the parameters equal to zero (taking into account the established constraint above).

Using these maps, we calculated the extent of forest cover within the range of species x at time t (1953 or 2000) as (2.1) F x, t = (1 / n ) ∑ ∑ e − α d i j A j, where A j is the percentage of forest cover in cell j, d ij is the distance between the sampling locality i and cell j in degrees, and the second summation is over the n sampling localities for species x.