{"title":"Estimation: determining the value of population parameters.","authors":"A. Kozak, R. Kozak, C. Staudhammer, S. B. Watts","doi":"10.1079/9781845932756.0147","DOIUrl":null,"url":null,"abstract":"Abstract\n This chapter discusses statistical estimation used in forestry, which can be classified as either point estimation or interval estimation. A point estimate is a single numeric value calculated from the information in a sample. An interval estimate yields two numeric values, between which we can reliably expect to find the target parameter.","PeriodicalId":413890,"journal":{"name":"Introductory probability and statistics: applications for forestry and natural sciences","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Introductory probability and statistics: applications for forestry and natural sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/9781845932756.0147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Abstract
This chapter discusses statistical estimation used in forestry, which can be classified as either point estimation or interval estimation. A point estimate is a single numeric value calculated from the information in a sample. An interval estimate yields two numeric values, between which we can reliably expect to find the target parameter.
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