Related Experiment Video
Updated: Aug 9, 2026

10:46
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Household modelling and forecasting--dynamic approaches with use of linked census data
Summary
This study introduces dynamic household models, offering an improvement over criticized headship rate methods. These new models better capture household formation and dissolution dynamics using longitudinal census data.
Area of Science:
- Demography
- Sociology
- Statistical Modeling
Background:
- The headship rate method for household modeling faces recent criticism.
- Limitations of traditional methods necessitate advanced approaches.
Purpose of the Study:
- To propose and present improved dynamic models for household formation and dissolution.
- To offer alternatives to the criticized headship rate method.
Main Methods:
- Utilizing the Office of Population Censuses and Surveys (OPCS) 1% longitudinal study.
- Analyzing linked data from the 1971 and 1981 England and Wales Censuses.
- Developing and presenting alternative dynamic models.
Main Results:
- Demonstrated advantages of dynamic models over static methods.
- Presentation of several novel dynamic models for household dynamics.
- Analysis based on a large-scale longitudinal dataset.
Conclusions:
- Dynamic models provide a more accurate representation of household changes.
- The proposed models offer a robust framework for demographic analysis.
- Longitudinal data is crucial for understanding household formation and dissolution patterns.
Related Concept Videos
Distributions to Estimate Population Parameter
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Statistical Methods for Analyzing Epidemiological Data
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Steps in Outbreak Investigation
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Applications of Life Tables
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Econometric Views (EViews)
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...

