Crown Prince Shin and Crown Princess Chae-Kyung are the picture of happiness as they celebrate their first wedding anniversary in a lavish, high-profile public display...but all is not well behind those loving gazes and wide smiles. With the tension between her and Shin growing, Chae-Kyung can't help but look for a way out of her situation. But when the Queen, who is with child, decides to have Chae-Kyung be her proxy, the pressure is on for Chae-Kyung to keep herself and her marriage together. Will she look to Yul for guidance, even if his advice could spell disaster for the royal family that Chae-Kyung is growing to love?

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!

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?

‘People often say that non-fiction books read like fast-moving thrillers, but this one genuinely does... This is a splendid book – and highly recommended.’ Daily Mail A remarkable piece of investigative journalism into one of the most pervasive and troubling mysteries of recent memory.

At a critical moment, Naofumi and the others are saved by a young girl. Ost’s sacrifice is enough to save them from their battle to the death with Kyo, but Kyo's able to escape to another world. Naofumi attempts to follow him, but he awakens to find himself in prison! His friends are scattered and he finds himself back at level one. How will Naofumi survive the new challenges that await him?

Abby Abernathy is re-inventing herself as the good girl as she begins her freshman year at college, which is why she must resist lean, cut, and tattooed Travis Maddox, a classic bad boy.

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.

"A clever picture book about a multi-level apartment building's occupants and their many nighttime noises"--