{"title":"估计:确定总体参数的值。","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":"{\"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}","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}
Estimation: determining the value of population parameters.
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.