A lemonade stand in winter? Yes, that's exactly what Pauline and John-John intend to have, selling lemonade and limeade--and also lemon-limeade. With a catchy refrain (Lemon lemon LIME, Lemon LIMEADE! Lemon lemon LIME, Lemon LEMONADE!), plus simple math concepts throughout, here is a read-aloud that's great for storytime and classroom use, and is sure to be a hit among the legions of Jenkins and Karas fans. "A beautifully restrained tribute to trust and tenderness shared by siblings; an entrepreneurship how-to that celebrates the thrill of the marketplace without shying away from its cold realities; and a parable about persistence." —Publishers Weekly, Starred

Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments. The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields. Features: Describes the basic ideas underlying each concept and model Includes R, SAS, SPSS and Stata programming codes for all the examples Features significantly expanded Chapters 4, 5, and 8 (Chapters 4-6, and 9 in the second edition Expands discussion for subtle issues in longitudinal and clustered data analysis such as time varying covariates and comparison of generalized linear mixed-effect models with GEE

This series of books has been especially created to teach preschool children basic concepts and to help them discover and understand the exciting world around them. This book is on counting.

An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.