Gudmund R Iversen
Biographic Data
| ID | 255959 |
|---|---|
| NAME | Gudmund R Iversen |
| GIVEN NAMES | Gudmund R |
| FAMILY NAME | Iversen |
| SIGNATURE | IVERSEN G R |
| AFFILIATIONS | Swarthmore College |
| VERIFIED | No |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 47 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1962 |
| LATEST PUBLICATION YEAR | 1992 |
| H-INDEX | 2 |
Contextual Analysis
Contextual Analysis
Absolute and Relative Individual Effects in Contextual Analysis
Beyond Analysis of Variance
Contextual Analysis: Concepts and Statistical Techniques
Causal Modeling
Decomposing Chi-Square: A Forgotten Technique
According to the statistical properties of the chi-square distribution, a variable which is distributed according to the chi-square distribution with p degrees of freedom can be written as the sum ofp chi-square variables, each with one degree of freedom. This means that a contingency table which gives rise to a chi-square with p degrees of freedom can be decomposed into as many as p smaller tables. The magnitudes of the chi-squares for these sma…
Nonparametric Statistical Methods. Myles Hollander , Douglas A. Wolfe
Recovering Individual Data in the Presence of Group and Individual Effects
The ecological fallacy of relating variables on the group level, when the individual-level relationship is desired, can only be avoided by using individual-level data. This paper gives some conditions for occasions when individual-level data can successfully be recovered from grouped data. Such a recovery is illustrated using data on urban or rural residence and participation or not in the labor force as an example. The conditions are given in te…
Social Sciences and Statistics
Statistics is the one discipline in which people have concentrated almost exclusively on how to collect and analyze data. Statisticians have been doing this as a goal in itself without having to be encumbered by substantive issues arising from some other discipline. Most of their work can be broken into components that fall in one of three categories: data gathering, data reduction (descriptive statistics), and statistical inference
Operationalizing the Concept of Probability in Legal-Social Science Research
Statistics has been called the science of uncertainty. Central to this science is the concept of probability. Operationalizing probability, however, has provided statisticians with many difficulties over the years, and to this day no complete agreement has been reached on this extremely important issue
Statistics According to Bayes
Thomas Bayes may not have foreseen that a paper he wrote and friends of his published in 1763, after his death, would serve to tie his name to a branch of statistics that has come into prominence today. Bayesian statistics gets its name from the use and special interpretation of what is known as Bayes' theorem, a simple identity in conditional and unconditional probabilities, contained in the paper by Bayes (1763). The rise of Bayesian statistics…
On the Existence of Forces Restoring Party Competition
The concept of equilibrium, like Emerson's concept of compensation, has fascinating applications in many fields where processes of change may be interpreted as deflections of a moving system by external forces and the counteracting influence of restoring forces that return the system to its normal state or course. This article investigates the evidence for the existence of restoring forces which appear to maintain competition between the major pa…
On the Existence of Forces Restoring Party Competition
The concept of equilibrium, like Emerson's concept of compensation, has fascinating applications in many fields where processes of change may be interpreted as deflections of a moving system by external forces and the counteracting influence of restoring forces that return the system to its normal state or course. This article investigates the evidence for the existence of restoring forces which appear to maintain competition between the major pa…
Recovering Individual Data in the Presence of Group and Individual Effects
The ecological fallacy of relating variables on the group level, when the individual-level relationship is desired, can only be avoided by using individual-level data. This paper gives some conditions for occasions when individual-level data can successfully be recovered from grouped data. Such a recovery is illustrated using data on urban or rural residence and participation or not in the labor force as an example. The conditions are given in te…
Decomposing Chi-Square: A Forgotten Technique
According to the statistical properties of the chi-square distribution, a variable which is distributed according to the chi-square distribution with p degrees of freedom can be written as the sum ofp chi-square variables, each with one degree of freedom. This means that a contingency table which gives rise to a chi-square with p degrees of freedom can be decomposed into as many as p smaller tables. The magnitudes of the chi-squares for these sma…
Contextual Analysis: Concepts and Statistical Techniques
On the Existence of Forces Restoring Party Competition
The concept of equilibrium, like Emerson's concept of compensation, has fascinating applications in many fields where processes of change may be interpreted as deflections of a moving system by external forces and the counteracting influence of restoring forces that return the system to its normal state or course. This article investigates the evidence for the existence of restoring forces which appear to maintain competition between the major pa…
Statistics According to Bayes
Thomas Bayes may not have foreseen that a paper he wrote and friends of his published in 1763, after his death, would serve to tie his name to a branch of statistics that has come into prominence today. Bayesian statistics gets its name from the use and special interpretation of what is known as Bayes' theorem, a simple identity in conditional and unconditional probabilities, contained in the paper by Bayes (1763). The rise of Bayesian statistics…
Operationalizing the Concept of Probability in Legal-Social Science Research
Statistics has been called the science of uncertainty. Central to this science is the concept of probability. Operationalizing probability, however, has provided statisticians with many difficulties over the years, and to this day no complete agreement has been reached on this extremely important issue
Social Sciences and Statistics
Statistics is the one discipline in which people have concentrated almost exclusively on how to collect and analyze data. Statisticians have been doing this as a goal in itself without having to be encumbered by substantive issues arising from some other discipline. Most of their work can be broken into components that fall in one of three categories: data gathering, data reduction (descriptive statistics), and statistical inference
Recovering Individual Data in the Presence of Group and Individual Effects
The ecological fallacy of relating variables on the group level, when the individual-level relationship is desired, can only be avoided by using individual-level data. This paper gives some conditions for occasions when individual-level data can successfully be recovered from grouped data. Such a recovery is illustrated using data on urban or rural residence and participation or not in the labor force as an example. The conditions are given in te…
Nonparametric Statistical Methods. Myles Hollander , Douglas A. Wolfe
Decomposing Chi-Square: A Forgotten Technique
According to the statistical properties of the chi-square distribution, a variable which is distributed according to the chi-square distribution with p degrees of freedom can be written as the sum ofp chi-square variables, each with one degree of freedom. This means that a contingency table which gives rise to a chi-square with p degrees of freedom can be decomposed into as many as p smaller tables. The magnitudes of the chi-squares for these sma…
Causal Modeling
Contextual Analysis: Concepts and Statistical Techniques
Beyond Analysis of Variance
Absolute and Relative Individual Effects in Contextual Analysis
Contextual Analysis
Contextual Analysis
Mathematics (8 works) · Statistics (8 works) · Computer Science (7 works) · Psychology (5 works) · Econometrics (4 works) · Sociology (4 works) · Epistemology (3 works) · Political science (3 works) · Bayesian Modeling and Causal Inference (2 works) · Economics (2 works)