Forest Mensuration II Lecture 4 Stratified Random Sampling

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Forest Mensuration II Lecture 4 Stratified Random Sampling Avery and Burkhart, Chapter 3 Shiver

Forest Mensuration II Lecture 4 Stratified Random Sampling Avery and Burkhart, Chapter 3 Shiver and Borders, Chapter 5 Lecture 4 Forestry 3218

What is Stratified Random Sampling? • A population is subdivided into subpopulations of known

What is Stratified Random Sampling? • A population is subdivided into subpopulations of known sizes • A simple random sample (or systematic sampling) of at least two units is drawn from each subpopulation Lecture 4 Forestry 3218

Why Stratified Random Sampling? • To obtain a more precise estimate of the population

Why Stratified Random Sampling? • To obtain a more precise estimate of the population mean when – Sample size is the same – The variations within subpopulations are smaller than the total population variance • To obtain an estimate of the subpopulations Lecture 4 Forestry 3218

How to stratify? • Assign each sampling unit to one and only one stratum

How to stratify? • Assign each sampling unit to one and only one stratum • Defining strata can be easy or difficult; normally done prior to sampling, but can be reassigned/re-classified Lecture 4 Forestry 3218

Stratification examples in forestry practices? • • • Stand type Stand age Site class

Stratification examples in forestry practices? • • • Stand type Stand age Site class – site quality Climate region Ecosite (ecosystem type) Lecture 4 Forestry 3218

Design Example Lecture 4 Forestry 3218

Design Example Lecture 4 Forestry 3218

Definition • L = number of strata (h = 1, 2, L) • Nh

Definition • L = number of strata (h = 1, 2, L) • Nh = total number of sampling units in strata h • N = total number of units in entire population • yh, i = an observed value of the variable y on sampling unit i in stratum h Lecture 4 Forestry 3218

How to calculate means • The sample mean for stratum h (exact same as

How to calculate means • The sample mean for stratum h (exact same as in SRS) • The sample mean for overall population (weighted average) Lecture 4 Forestry 3218

Estimate the overall population mean Example: Stratum acres mean dbh 1 2 3 10

Estimate the overall population mean Example: Stratum acres mean dbh 1 2 3 10 12 7 12. 2 31. 6 20. 1 Lecture 4 Forestry 3218

Estimate the overall population standard error of the mean 1. Compute variance within each

Estimate the overall population standard error of the mean 1. Compute variance within each strata Lecture 4 Forestry 3218

Estimate the overall population standard error of the mean • 2. Compute population standard

Estimate the overall population standard error of the mean • 2. Compute population standard error of the mean OR (with replacement or infinite population) Estimate the confidence intervals: Lecture 4 Forestry 3218 (without replacement)

Additional Reading for Lecture 5 • Chen, H. Y. H. , and K. Klinka.

Additional Reading for Lecture 5 • Chen, H. Y. H. , and K. Klinka. 2003. Aboveground production of mixed-species western hemlock and redcedar stands in British Columbia. Forest Ecology and Management 184: 46 -55. • You can download from: flash. lakeheau. ca/~hchen Lecture 4 Forestry 3218