### Table 3: Modeling terminology in mathematics / statistics and physics

2007

"... In PAGE 27: ... The exponential random graph family used in statistics thus corresponds to the equilibrium ensembles of statistical mechanics developed in physics. Table3 presents a comparison of the terminology used in the different disciplines. Table 3: Modeling terminology in mathematics / statistics and physics ... ..."

Cited by 1

### Table 3: Modeling terminology in mathematics / statistics and physics

"... In PAGE 27: ... The exponential random graph family used in statistics thus corresponds to the equilibrium ensembles of statistical mechanics developed in physics. Table3 presents a comparison of the terminology used in the different disciplines. Table 3: Modeling terminology in mathematics / statistics and physics ... ..."

### Table 2. Number of research higher degrees completed in Mathematics and Statistics, 2004

2005

"... In PAGE 31: ... Unfor- tunately, there was a more significant drop in the number of female graduates than male graduates. Table2 presents the data for Higher De- gree completions in 2004. The data are broken down into Coursework Masters, Re- search Masters and PhD degrees, with the latter two divided into the three typical ar- eas of Mathematics.... In PAGE 55: ... Therefore, a control group was not available for statistical study. Table2 summarizes the outcomes. D stands for the event that a student passes the DERIVE assessment and Dc for the complement of this event.... In PAGE 55: ... M stands for the event that a student passes the mathematics paper (without using a computer). Table2 . The number of students at each event D Dc M 36 (= 9P + 14C + 7D + 6H) 2 (= 2F) Mc 21 (= 5F + 12P + 4C) 1 (= 1F) As can be seen from Table 2, the eight students who failed this unit were distributed as follows: 5 students out of 21, who passed the DERIVE assessment but failed the mathematics paper, failed the unit.... In PAGE 55: ... Table 2. The number of students at each event D Dc M 36 (= 9P + 14C + 7D + 6H) 2 (= 2F) Mc 21 (= 5F + 12P + 4C) 1 (= 1F) As can be seen from Table2 , the eight students who failed this unit were distributed as follows: 5 students out of 21, who passed the DERIVE assessment but failed the mathematics paper, failed the unit. Two students passed the mathematics paper but failed the DERIVE test and one student failed both modules.... ..."

### Table 4: Network properties modeled and applicable models developed in mathematics / statistics / social network analysis and physics

2007

"... In PAGE 32: ... 5.3 Discussion Table4 provides an overview of the models that are discussed in this section and the subsequent section on modeling dynamics on networks. Table 4: Network properties modeled and applicable models developed in mathematics / statistics / social network analysis and physics ... ..."

Cited by 1

### Table 4: Network properties modeled and applicable models developed in mathematics / statistics / social network analysis and physics

"... In PAGE 32: ... 5.3 Discussion Table4 provides an overview of the models that are discussed in this section and the subsequent section on modeling dynamics on networks. Table 4: Network properties modeled and applicable models developed in mathematics / statistics / social network analysis and physics ... ..."

### Table 1. Statistics for Mathematics Texts Text Pages Chapters Sections/.

### Table 1. Network measurements terminology in mathematics/physics and statistics/social network analysis

2007

"... In PAGE 21: ... It also presents an illustrative example to point out the commonalities and differences among regular, random, small world and scale-free networks. Table1 gives an overview of the different terminology used in different scientific disciplines and their interrelations. Obviously, the different disciplines have developed similar techniques in parallel.... ..."

Cited by 1

### Table 1. Network measurements terminology in mathematics/physics and statistics/social network analysis

"... In PAGE 21: ... It also presents an illustrative example to point out the commonalities and differences among regular, random, small world and scale-free networks. Table1 gives an overview of the different terminology used in different scientific disciplines and their interrelations. Obviously, the different disciplines have developed similar techniques in parallel.... ..."

### Table IV.1 Departments with statistics or mathematics courses as required or elective courses (science departments in boldface type). Required Elective

1996

### Table 2.1: Comparison of the quantities and fundamental mathematical equations of equilibrium statistical physics and large deviations theory.

2003