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Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models separately, whereas Linear Model Theory: Univariate, Multivariate, and Mixed Models presents a unified treatment in order to make clear the distinctions among the three classes of models.

Linear Model Theory: Univariate, Multivariate, and Mixed Models begins with six...

The Q-Hypothesis has functioned as a mainstay of study of the synoptic gospels for many years. Increasingly it comes under fire. In this volume leading proponents of Q, as well as of the case against Q, offer the latest arguments based on the latest research into this literary conundrum.

The contributors to the volume include John Kloppenborg, Christopher Tuckett, Clare Rothschild, Mark Goodacre, and Francis Watson. The Q-Hypothesis is examined in depth and the discussion moves back and forth over Q's strengths and weaknesses. As such the volume sheds light on how the gospels were...