Author: Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 1186
Book Description
Canadiana
Author: Canadian Farm Economics
Author: Canadian Government Publications Catalogue
Author: Canada. Information CanadaPublisher:
ISBN:
Category : Government publications
Languages : en
Pages : 572
Book Description
Canadian Government Publications: Catalogue
Author: Sampling
Author: P. R. KrishnaiahPublisher: Handbook of Statistics
ISBN:
Category : Mathematics
Languages : en
Pages : 620
Book Description
Hardbound. This volume is devoted to Sample Surveys, which is the most widely used method in statistical practice. It covers many theoretical and practical aspects of social and biological investigations, and is a valuable guide for those involved in designing sample surveys.
Annual Catalogue
Author: Statistical Observer
Author: Canada. Dominion Bureau of StatisticsPublisher:
ISBN:
Category : Canada
Languages : en
Pages : 192
Book Description
The Story of U.S. Agricultural Estimates
Author: United States. Department of Agriculture. Statistical Reporting ServicePublisher:
ISBN:
Category : Agricultural estimating and reporting
Languages : en
Pages : 148
Book Description
Survey Methods and Practices
Author: Statistics CanadaPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 416
Book Description
This publication shows readers how to design and conduct a census or sample survey. It explains basic survey concepts and provides information on how to create efficient and high quality surveys. It is aimed at those involved in planning, conducting or managing a survey and at students of survey design courses. This book contains the following information: formulating the survey objectives and design a questionnaire; things to consider when designing a survey (choosing between a sample or a census, defining the survey population, choosing which survey frame to use, possible sources of survey error); determining the sample size, allocate the sample across strata and select the sample; appropriate uses of survey data and methods of point and variance estimation in data analysis; data dissemination and disclosure control; using administrative data, particularly during the design and estimation phases; choosing a collection method (self-enumeration, personal interview or telephone interview, computer-assisted versus paper-based questionnaires); organizing and conducting data collection operations; processing data (all data handling activities between collection and estimation) and using quality control and quality assurance measures to minimize and control errors during various survey steps; and planning and managing a survey. This publication also includes a case study that illustrates the steps in developing a household survey, using the methods and principles presented in the book.
Author: