Add to ORKGIn his 1997 book, King announced “A Solution to the Ecological Inference Problem”. This review discusses King’s method, and tests it on data where truth is known. In the test data, his method produces results that are far from truth, and diagnostics are unreliable. Ecological regression makes estimates that are similar to King’s, while the neighborhood model is more accurate. His announcement is premature
Ecological inference is a problem of partial identification, and therefore precise conclusions are r...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
The articles in this theme issue-separated into Part 1 (Summer) and Part 2 (Fall) - consider a wide ...
The practice of using point estimates produced by the King ecological inference technique as depende...
Recently, King (1997) introduced a new model for ecological inference (EI), based on a truncated biv...
Preface from the book: In this book, I present a solution to the ecological inference problem: a me...
The ecological inference problem is a famous longstanding puzzle that arises in many disciplines. T...
Estimating the likelihood of fallacious ecological inference: linear ecological regression in the pr...
Statistical methods for ecological inference are advanced. The drawback of ecological inference at p...
The authors reply to Zax’s critique of the double-equation method for ecological regression and of t...
The so-called ‘null hypothesis’ debate in ecology opened a statistical Pandora\u27s Box. Ecologists ...
Since it was introduced to historians nearly three decades ago, a statistical technique known as ec...
Ecological inference refers to the study of individuals using aggregate data and it is used in an im...
A fundamental problem in many disciplines, including political science, sociology and epidemiology, ...
Ecological inference is a problem of partial identification, and therefore precise conclusions are r...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
The articles in this theme issue-separated into Part 1 (Summer) and Part 2 (Fall) - consider a wide ...
The practice of using point estimates produced by the King ecological inference technique as depende...
Recently, King (1997) introduced a new model for ecological inference (EI), based on a truncated biv...
Preface from the book: In this book, I present a solution to the ecological inference problem: a me...
The ecological inference problem is a famous longstanding puzzle that arises in many disciplines. T...
Estimating the likelihood of fallacious ecological inference: linear ecological regression in the pr...
Statistical methods for ecological inference are advanced. The drawback of ecological inference at p...
The authors reply to Zax’s critique of the double-equation method for ecological regression and of t...
The so-called ‘null hypothesis’ debate in ecology opened a statistical Pandora\u27s Box. Ecologists ...
Since it was introduced to historians nearly three decades ago, a statistical technique known as ec...
Ecological inference refers to the study of individuals using aggregate data and it is used in an im...
A fundamental problem in many disciplines, including political science, sociology and epidemiology, ...
Ecological inference is a problem of partial identification, and therefore precise conclusions are r...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...