In The Missing Mitt, the boys must help their teammate find his lucky mitt before the last game, or their Little League season is doomed!

Includes an excerpt of the Hardy Boys clue book #3, Water-ski wipeout.

The first book in the chapter book refresh of the classic Hardy Boys series. In Trouble at the Arcade, nine-year-old Frank and eight-year-old Joe Hardy discover trouble lurking at the local arcade and decide they make pretty good detectives—just like their dad!

The boys track down an unusually undead suspect in this Hardy Boys Secret Files mystery. Bayport is buzzing with excitement when a film crew sets up shop to film the latest zombie flick. Frank, Joe, and their friends are really psyched that there will be fake zombies running around town—not to mention a famous director and some of their favorite actors. They are hoping for a sighting or two, and maybe even an autograph, if they’re lucky! But things get a little too real when one of the boys’ friends claims he saw an actual zombie in Bayport—nowhere near the shoot. Is someone just pulling a crazy prank? Or is the movie starting to take on a life of its own?

When the actor who plays popular comic character Morpho the Morph Monster comes to town for a fan day--along with his famous Morpho Mask and Morph Spork--everyone, including Frank and Joe, is excited to meet the man behind the mask. But at the event, Morpho's Spork goes missing! And until the Spork is returned, the entire event will be put on hold! It's up to Frank and Joe to crack the case--and return the Spork to its rightful owner!

Frank, his brother, Joe, and their classmates have been working on their talents for the school talent show for weeks and can't wait to get onstage to show off. But in the middle of the show, frogs start falling from the ceiling onto the competition. The boys have another mystery to solve.

An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems. Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated “classic” written by renowned authorities on the subject Features over 150 exercises (including many new ones) Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods Revises previous topics based on past student feedback and class experience Contains an updated and expanded bibliography The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI) Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.