In an effort to prevent Chae-Kyung from fall prey to Yul's blackmailing schemes, Shin decides to run away with Chae-Kyung to her holiday home. But while the royal couple allows themselves one last, bittersweet weekend of happiness together, rumors of their little rendezvous spread far and wide. While Chae-Kyung's brother, Chae-Jun, hopes to rekindle his romance with a brokenhearted Hyo-Rin, Yul and Mi-Roo ponder an alliance, and Yul's mother plots her revenge. And though Chae-Kyung is ready to suffer alone for the sake of the royal family, she just can't seem to stay away from Shin!

The final volume of Goong is a collection of short stories that ranges from the past to the future of the main story. From the dreamy tale of a concubine who meets her future selves to a retelling of Prince Shin's and Princess Chae-Kyung's first night together, these side stories showcase the inner workings behind the Palace.

Monarchy ended long ago in Korea, but there are still other countries with Kings, Queens, princes and princesses. What if Korea had continued monarchism? What if all the beautiful palaces which are now only historical relics were actually filled with people?! What if the glamorous royal family still maintained the palace customs?! Welcome to a world where Korea still has the royal family living their lives! Only for one high school girl, Che-Kyung, is this a tragedy, since she has to marry the prince who apparently is a total jerk!

With the wedding ceremony complete, Chae-Kyung and Prince Shin are finally newlyweds...but now they have to spend their first night together?! And as she tries to get accustomed to life as a princess, homesick Chae-Kyung finds no comfort in her haughty husband, who seems determined to antagonize her at every turn. Will the crown prince's attitude ever change? Is the dream of marital bliss doomed to be a nightmarish marital blunder?!

Hoping to clear the air between Shin and Chae-Kyung, the ladies of the court pressure the young couple to get more intimate. But even a night together may not be enough to push the two close. Amid lingering suspicions of Shin's involvement with Hyo-Rin, Yul takes the offensive in claiming not only his right to the throne, but to Chae-Kyung's heart as well...Will her commitment to her husband and her duty as crown princess prevail?

After the king grants his late brother a posthumous coronation, the status quo shifts dramatically as his widow, Yul's mother, gains power in the palace. And she definitely has it out for Shin and Chae-Kyung! When the newlyweds are invited to go abroad, it seems like they might be on the road to romance...but with Yul's mammy dearest determined to make the couple miserable, will they even get off the ground?

Source documents compiled by insurance investigator Ralph Henderson are used to build a case against Baron "R___", who is suspected of murdering his wife. The baron's wife died from drinking a bottle of acid, apparently while sleepwalking in her husband's private laboratory. Henderson's suspicions are raised when he learns that the baron recently had purchased five life insurance policies for his wife. As Henderson investigates the case, he discovers not one but three murders. Although the baron's guilt is clear to the reader even from the outset, how he did it remains a mystery. Eventually this is revealed, but how to catch him becomes the final challenge; he seems to have committed the perfect crime.

The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

The author chronicles the lives of three generations of Chinese men in America, woven from memory, myth and fact. Here's a storyteller's tale of what they endured in a strange new land.