This soccer journal is great for the Soccer Mom or Dad! It will help you to remember all the details from your child's pass games like: what team they played, how many goals they scored and whether they won or not. Children will love to record all their statistics in this guided soccer journal log book. Enjoy the memories the book will create! Flexible softcover that has room for 100 games of soccer. It also makes the perfect gift

"Get this for your pregnant friends, or yourself" (People): a hilariously candid account of one woman's quest to bring her post-baby marriage back from the brink, with life-changing, real-world advice. Recommended by Nicole Cliffe in Slate Featured in People Picks A Red Tricycle Best Baby and Toddler Parenting Book of the Year One of Mother magazine's favorite parenting books of the Year How Not To Hate Your Husband After Kids tackles the last taboo subject of parenthood: the startling, white-hot fury that new (and not-so-new) mothers often have for their mates. After Jancee Dunn had her baby, she found that she was doing virtually all the household chores, even though she and her husband worked equal hours. She asked herself: How did I become the 'expert' at changing a diaper? Many expectant parents spend weeks researching the best crib or safest car seat, but spend little if any time thinking about the titanic impact the baby will have on their marriage - and the way their marriage will affect their child. Enter Dunn, her well-meaning but blithely unhelpful husband, their daughter, and her boisterous extended family, who show us the ways in which outmoded family patterns and traditions thwart the overworked, overloaded parents of today. On the brink of marital Armageddon, Dunn plunges into the latest relationship research, solicits the counsel of the country's most renowned couples' and sex therapists, canvasses fellow parents, and even consults an FBI hostage negotiator on how to effectively contain an "explosive situation." Instead of having the same fights over and over, Dunn and her husband must figure out a way to resolve their larger issues and fix their family while there is still time. As they discover, adding a demanding new person to your relationship means you have to reevaluate -- and rebuild -- your marriage. In an exhilarating twist, they work together to save the day, happily returning to the kind of peaceful life they previously thought was the sole province of couples without children. Part memoir, part self-help book with actionable and achievable advice, How Not To Hate Your Husband After Kids is an eye-opening look at how the man who got you into this position in this first place is the ally you didn't know you had.

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.

“Aven is a perky, hilarious, and inspiring protagonist whose attitude and humor will linger even after the last page has turned.” —School Library Journal (Starred review) Aven Green loves to tell people that she lost her arms in an alligator wrestling match, or a wildfire in Tanzania, but the truth is she was born without them. And when her parents take a job running Stagecoach Pass, a rundown western theme park in Arizona, Aven moves with them across the country knowing that she’ll have to answer the question over and over again. Her new life takes an unexpected turn when she bonds with Connor, a classmate who also feels isolated because of his own disability, and they discover a room at Stagecoach Pass that holds bigger secrets than Aven ever could have imagined. It’s hard to solve a mystery, help a friend, and face your worst fears. But Aven’s about to discover she can do it all . . . even without arms. Autumn 2017 Kids’ Indie Next Pick Junior Library Guild Selection Library of Congress's 52 Great Reads List 2018

Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.