This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation. The volume helps establish a sound base of information to help set priorities and measure progress toward environmental sustainability goals.
Annotation This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation. The volume helps establish a sound base of information to help set priorities and measure progress toward environmental sustainability goals.
This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation. The volume helps establish a sound base of information to help set priorities and measure progress toward environmental sustainability goals.
This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation. The volume helps establish a sound base of information to help set priorities and measure progress toward environmental sustainability goals.
This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation.
Children will love this monsterously fun story, featuring die-cuts on every spread. With each turn of the page, readers reveal Little Green Monster's little yellow eyes, his little red mouth, and even a cute, tiny white monster tooth. Then, when the stars begin to appear, it's time for bed... so, nighty night, little yellow eyes. Nighty night, little red mouth. Nighty night, cute little white tooth. Sweet dreams!
Jeffrey Gitomer¿s The Little Green Book of Getting Your Way digs deep into the 9.5 elements that make persuasion, and getting your way, happen. By breaking down the elements, the reader will begin to understand, take action, become proficient, and then master the ability to persuade. Because persuasion occurs in so many different areas of life and business, Gitomer leads the reader from mental readiness to the principles of getting your way and the power that persuasion offers. He challenges the reader to prepare before they present, to prepare before they try to persuade. He demonstrates how to change a presentation into a performance and shows how this can be done in any environment.But because persuasion most often takes place in business, he draws special emphasis to the reader¿s ability to write and sell persuasively. The book talks about the persistence that enables winning persuasion. He brings the Benjamin Franklin quote ¿If at first you don¿t succeed, try, try again¿ to the Gitomer level of ¿You only fail when you decide to quit,¿ and the book ends challenging the reader how to think about excellence and eloquence. It will be up to the reader to take advantage of the opportunity and harness the power.
Quantile Regression, the first book of Hao and Naiman′s two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines. Key Features: Establishes a natural link between quantile regression and inequality studies in the social sciences Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software popular among social scientists Oriented to empirical research