You may have to register before you can download all our books and magazines, click the sign up button below to create a free account.
After the bizarre deaths of her parents, Madeline never expects to feel happy again. Then she falls in love with Justin Fier, a handsome young doctor. She is warned away from Justin by a young man no one else sees, and an old woman everyone things is crazy. They tell her Justin is a man driven by an evil quest that destroys any woman who dares to love him. Is it too late? Can Madeline escape the curse of the Fears?
In The Trinitarian Testimony of the Spirit, Kyle R. Hughes offers a new approach to the development of early Christian pneumatology by focusing on how Justin, Irenaeus, and Tertullian linked the Holy Spirit with testimony to the deity and lordship of the Father and the Son. Drawing extensively on recent studies of prosopological exegesis and divine testimony in the ancient world, Hughes demonstrates how these three pre-Nicene Christian writers utilized Scripture and the conventions of ancient rhetoric and exegesis to formulate a highly innovative approach to the Holy Spirit that would contribute to the identification of the Spirit as the third person of the Trinity.
Seven Doors for Charlotte is a work of fiction, and the subject matter surrounding this book becomes entirely apparent to those who read it. The events, which occur throughout the book, takes place in a self-willed town just outside Lake Charles, Louisiana. The name of this little town is Twin Rivers, Louisiana. These events are of catastrophic magnitudes. Remember, this isnt a real story. Please dont perceive this story and its contents to be true. Charlotte must, however, overcome numerous obstacles within the house, which will eventually start changing the unique characteristics about her. Charlottes grandma, Irene, raised Charlotte from a very early age. Charlotte was six months old when...
Illustrates the scope and diversity of modern applications, reviews advances, and highlights many desirable aspects of inference and computations. This work presents an historical overview that describes key contributions to development and makes predictions for future directions.
Bringing together a collection of previously published work, this book provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making. Analytical relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are established with important application for model-checking and model construction. The theory and applications of these procedures to a variety of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are also presented and applied. Finally, attention is focused on the effects of disaggregation on forecasting precision and the Marshallian Macroeconomic Model that features demand, supply and entry equations for major sectors of economies is analysed and described. This volume will prove invaluable to professionals, academics and students alike.
This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.
A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.
Young building worker, Toni V, finds a diary buried in a water can in the rubble of a construction site. He knows he should just hand it in to the Supervisor - that's the rule. But curiosity gets the better of him and he starts reading. At first the diarist, Pelly D, seems like any ordinary girl, writing about clothes, parties, boys. But underneath the light, sassy, often sarcastic narrative, Toni V begins to sense that something very different, sinister, and scary is unfolding. Set far in the future and on a distant planet, Pelly D's diary bears witness, through the eyes of a young girl, to the terrifying consequences of genetic classification.
Illustrates Bayesian theory and application through a series of exercises in question and answer format.