Demography in The Books Store

Rapid changes over the last twenty years have impacted every branch of demographic analysis, from birth rates and immigration, to marriage rates and aging. The Nature of Demography is a response to these enormous changes. Written by one of the world's leading demographers, this authoritative text offers a systematic and coherent overview of the fundamental ideas governing the study of present and future populations.

The book covers formal models as well as the underlying logic and context of demographic reasoning. The text also illustrates recent data and new methodological developments. The first section of the book discusses measurements that involve a single individual, such as mortality and fertility; the second section moves from individual behaviors to population-level phenomena; and the third section looks at models involving individuals and social structures within the population, such as marriage and migration rates--topics not addressed in such detail in any other demography text.

Written for advanced undergraduates and experienced researchers, The Nature of Demography contains a wealth of material that will inspire innovative applications in the field.

• An up-to-date and authoritative textbook by one of the world's leading demographers
• Creative use and critique of demography methods
• Comprehensive and innovative coverage of marriage, migration, and economic demography
• Explanations that reach beyond mathematical formulas to underlying theories of behavior

This inspiring collection is for the 50 million American women who are finding renewed joy, passion and meaning in their lives.

This feel-good book celebrates the growing sisterhood of women who are embracing life, realizing that the best years are ahead of them.

Chapters include: On Adventure, Treasuring Friendship, On Romance, Overcoming Obstacles, On Wisdom, On Parenting, On Spirituality, and Across Generations.

"Introduction to Applied Bayesian Statistics and Estimation for Social Scientists" covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.

The first part of the book provides a detailed introduction to mathematical statistics and the Bayesian approach to statistics, as well as a thorough explanation of the rationale for using simulation methods to construct summaries of posterior distributions. Markov chain Monte Carlo (MCMC) methods - including the Gibbs sampler and the Metropolis-Hastings algorithm - are then introduced as general methods for simulating samples from distributions. Extensive discussion of programming MCMC algorithms, monitoring their performance, and improving them is provided before turning to the larger examples involving real social science models and data.