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Demographic methods for the Statistical Office
Presenting the topics of demographic methods in the form of a coherent set is of great importance for organizations that perform demographic analysis to meet the know-how behind policymaking and planning. The book "Demographic Methods for the Statistical Office" has been translated to meet the statistical needs of the organizations in charge of producing demographic statistics. In this book, basic and advanced demographic methods are presented along with numerical examples. The first chapter, looking at the history of demography, introduces demography as the study of mortality, fertility, and migration statistics, using population censuses, vital events, surveys, and special registration statistics, to meet this end. In the second chapter, the basic concepts of statistics such as probability, random variables, mean, expectation, variance, and statistical correlations are introduced. In the third chapter, the important concept of "Rate" is discussed. Chapter 4 describes the Lexis diagram and how to use it to illustrate "stationary population" changes. The mortality measure (life table) is discussed in Chapter 5. Also, in support of the survey, this chapter discusses an example of sample variance in life expectancy. In addition, this chapter summarizes how to perform simple simulations. Chapters 6 and 7 deal with the characteristics of stationary and stable populations and the standardization of mortality, respectively. In Chapter 8, fertility and reproduction are examined. This chapter discusses how to explain the variance of the total fertility rate by simulating or using estimates in a large-scale sample. Chapter 9 discusses common immigration statistics. Chapter 10 deals with demographic projections and describes their structural effects. Chapter 11 contains a basic introduction to time series and forecasting. Chapter 12 discusses demographic models such as the Brass Logit Survival Model and the Lee-Carter Methods. Indirect demographic estimation techniques are described in Chapter 13. In Chapter 14, logistic regression, and finally in Chapter 15, derivation and integration are discussed.
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