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- W1513384165 abstract "Highway needs studies are costly and time consuming and require large engineering staffs for their performance. This study is an investigation of whether sample survey methods can be used to reduce the time and work required to make these studies. Complete inventory and cost data were available for the primary county road systems in Michigan and Minnesota and this information was used for statistical analysis. The value of population characteristics and the variances of these characteristics were computed for the complete data of each state. Four different sampling methods were investigated for required sample size using five different combinations of margin of error and a risk for each population. The methods investigated were: a. Simple Random Sampling, b. Stratified Random Sampling with Optimum and Proportional Allocation, c. Simple Cluster Sampling, and d. Stratified Cluster Sampling with Optimum and Proportional Allocation." @default.
- W1513384165 created "2016-06-24" @default.
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- W1513384165 date "1959-01-01" @default.
- W1513384165 modified "2023-10-04" @default.
- W1513384165 title "Estimation of Highway Needs for County Primary Road Systems by Sample Survey Methods" @default.
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- W1513384165 doi "https://doi.org/10.5703/1288284313576" @default.
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