Найти книгу: "Conditional Futurism"

Conditional Futurism introduces a new perspective of end-time theology (eschatology). The book holds to Christian futurism while integrating the Apocalypse of John with the conditional dynamics of prophecy taught in Jeremiah, Ezekiel, Daniel, and various other books throughout the Old Testament. The new paradigm concludes that the final antichrist (also known as the man of lawlessness, the beast, and the eighth king) may read the apocalyptic prophecy of his doom while deciding instead to repent of evil and turn to the Lord, which is a biblical option that would fulfill the divine purposes of the apocalypse. This cutting-edge scholarship also develops new biblical models of angels appearing as humans, the descent of Christ into hell, and the kings in Revelation that incorporate with this end-time theology that encourages hope in all circumstances.

The initial Layer of protection analysis (LOPA) book published in 2001 set the rules and approaches for using LOPA as an intermediate method between purely qualitative hazards evaluation/analysis and more quantitative analysis methods. Basic LOPA provides an order-of-magnitude risk estimate of risk with fairly reproducible results. LOPA results are considered critical in determining safety integrity level for design of safety instrumented systems. This guideline clarifies key concepts and reinforces the limitations and the requirements of LOPA. The main scope of the guideline is to provide examples of CMs and ECs and to provide concrete guidance on the protocols that must be followed to use these concepts. The book presents a brief overview of Layer of Protection Analysis (LOPA) and its variations, and summarizes terminology used for evaluating scenarios in the context of a typical incident sequence. It defines and illustrates the most common types of ECs and CMs and shows how they interrelate to risk criteria as well as their application to other methods.

Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in analysis of variance, regression analysis, factor analysis, structural equation modeling, hierarchical linear models and analysis of qualitative data. The authors emphasize the theory of conditional expectations that is also fundamental to conditional independence and conditional distributions. Probability and Conditional Expectations Presents a rigorous and detailed mathematical treatment of probability theory focusing on concepts that are fundamental to understand what we are estimating in applied statistics. Explores the basics of random variables along with extensive coverage of measurable functions and integration. Extensively treats conditional expectations also with respect to a conditional probability measure and the concept of conditional effect functions, which are crucial in the analysis of causal effects. Is illustrated throughout with simple examples, numerous exercises and detailed solutions. Provides website links to further resources including videos of courses delivered by the authors as well as R code exercises to help illustrate the theory presented throughout the book.

Miami dreams…Event planner Sofia Silva is hiding a big secret. No one can know that her engagement to her lying, cheating fiance is over. Until she meets gorgeous, wealthy newcomer Jonathan Gunther.Jon moved to Miami for a life of waterfront property, convertibles and no emotional entanglements. When he invites Sofia to lie low at his house, their attraction is undeniable…but will her dilemma ruin their chance at forever?