H Richard Mcfarland
Biographic Data
| ID | 2744336 |
|---|---|
| NAME | H Richard Mcfarland |
| GIVEN NAMES | H Richard |
| FAMILY NAME | Mcfarland |
| SIGNATURE | MCFARLAND H R |
| AFFILIATIONS | Hearst (United States) |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Big Data and the danger of being precisely inaccurate
Social scientists and data analysts are increasingly making use of Big Data in their analyses. These data sets are often "found data" arising from purely observational sources rather than data derived under strict rules of a statistically designed experiment. However, since these large data sets easily meet the sample size requirements of most statistical procedures, they give analysts a false sense of security as they proceed to focus on employi…
Big Data and the danger of being precisely inaccurate
Social scientists and data analysts are increasingly making use of Big Data in their analyses. These data sets are often "found data" arising from purely observational sources rather than data derived under strict rules of a statistically designed experiment. However, since these large data sets easily meet the sample size requirements of most statistical procedures, they give analysts a false sense of security as they proceed to focus on employi…
Big Data and the danger of being precisely inaccurate
Social scientists and data analysts are increasingly making use of Big Data in their analyses. These data sets are often "found data" arising from purely observational sources rather than data derived under strict rules of a statistically designed experiment. However, since these large data sets easily meet the sample size requirements of most statistical procedures, they give analysts a false sense of security as they proceed to focus on employi…
Big data (1 work) · Computer Science (1 work) · Crime Patterns and Interventions (1 work) · Data Analysis with R (1 work) · Data mining (1 work) · Data science (1 work) · Data-Driven Disease Surveillance (1 work) · Mathematics (1 work) · Observational study (1 work) · Sample size determination (1 work)