"A fascinating look inside the complexities and enjoyment of skiing. For every skier, from the beginner to the Olympic Gold Medalist, this book provides a treasure of information." -PAUL MAJOR, ATHLETIC DIRECTOR, U.S. SKI TEAM
"I was delighted to learn from this interesting book more about the physics of a sport I have enjoyed for more than seventy years." -NORMAN RAMSEY, NOBEL LAUREATE IN PHYSICS, HARVARD UNIVERSITY

For millennia, humans waged war on land and sea. The 20th century opened the skies and the stars, introducing air and space as warfare domains. Now, the 21st century has revealed perhaps the most insidious domain of all: cyberspace, the fifth domain. A realm free of physical boundaries, cyberspace lies at the intersection of technology and psychology, where one cannot see one's enemy, and the most potent weapon is information. The third book in the Great Power Competition series, Cyberspace: The Fifth Domain, explores the emergence of cyberspace as a vector for espionage, sabotage, crime, and war. It examines how cyberspace rapidly evolved from a novelty to a weapon capable of influencing global economics and overthrowing regimes, wielded by nation-states and religious ideologies to stunning effect. Cyberspace: The Fifth Domain offers a candid look at the United States' role in cyberspace, offering realistic prescriptions for responding to international cyber threats on the tactical, strategic, and doctrinal levels, answering the questions of how can we respond to these threats versus how should we respond? What are the obstacles to and consequences of strategic and tactical response options? What technological solutions are on the horizon? Should the U.S. adopt a more multi-domain offensive posture that eschews the dominant "cyber vs. cyber" paradigm? To answer these questions, experts examine the technological threats to critical infrastructure; cyber operations strategy, tactics, and doctrine; information influence operations; the weaponization of social media; and much more.

1. Introduction to Bayesian Methods in Reliability.- 1. Why Bayesian Methods?.- 1.1 Sparse data.- 1.2 Decision problems.- 2. Bayes' Theorem.- 3. Examples from a Safety Study on Gas transmission Pipelines.- 3.1 Estimating the probability of the development of a big hole.- 3.2 Estimating the leak rate of a gas transmission pipeline.- 4. Conclusions.- References.- 2. An Overview of the Bayesian Approach.- 1. Background.- 2. Probability Concepts.- 3. Notation.- 4. Reliability Concepts and Models.- 5. Forms of Data.- 6. Statistical Problems.- 7. Review of Non-Bayesian Statistical Methods.- 8. Desiderata for Decision-Oriented Statistical Methodology.- 9. Decision-Making.- 10. Degrees of Belief as Probabilities.- 11. Bayesian Statistical Philosophy.- 12. A Simple Illustration of Bayesian Learning.- 13. Bayesian Approaches to Typical Statistical Questions.- 14. Assessment of Prior Densities.- 15. Bayesian Inference for some Univariate Probability Models.- 16. Approximate Analysis under Great Prior Uncertainty.- 17. Problems Involving many Parameters: Empirical Bayes.- 18. Numerical Methods for Practical Bayesian Statistics.- References.- 3. Reliability Modelling and Estimation.- 1. Non-Repairable Systems.- 1.1 Introduction.- 1.2 Describing reliability.- 1.3 Failure time distributions.- 2. Estimation.- 2.1 Introduction.- 2.2 Classical methods.- 2.3 Bayesian methods.- 3. Reliability estimation.- 3.1 Introduction.- 3.2 Binomial sampling.- 3.3 Pascal sampling.- 3.4 Poisson sampling.- 3.5 Hazard rate estimation.- References.- 4. Repairable Systems and Growth Models.- 1. Introduction.- 2. Good as New: the Renewal Process.- 3. Estimation.- 4. The Poisson Process.- 5. Bad as old: the Non-Homogeneous Poisson Process.- 6. Classical Estimation.- 7. Exploratory Analysis.- 8. The Duane Model.- 9. Bayesian Analysis.- References.- 5. The Use of Expert Judgement in Risk Assessment.- 1. Introduction.- 2. Independence Preservation.- 3. The Quality of Experts' Judgement.- 4. Calibration Sets and Seed Variables.- 5. A Classical Model.- 6. Bayesian Models.- 7. Some Experimental Results.- References.- 6. Forecasting Software Reliability.- 1. Introduction.- 2. The Software Reliability Growth Problem.- 3. Some Software Reliability Growth Models.- 3.1 Jelinski and Moranda (JM).- 3.2 Bayesian Jelinski-Moranda (BJM).- 3.3 Littlewood (L).- 3.4 Littlewood and Verrall (LV).- 3.5 Keiller and Littlewood (KL).- 3.6 Weibull order statistics (W).- 3.7 Duane (D).- 3.8 Goel-Okumoto (GO).- 3.9 Littlewood NHPP (LNHPP).- 4. Examples of Use.- 5. Analysis of Predictive Quality.- 5.1 The u-plot.- 5.2 The y-plot, and scatter plot of u's.- 5.3 Measures of 'noise'.- 5.3.1 Braun statistic.- 5.3.2 Median variability.- 5.3.3 Rate variability.- 5.4 Prequential likelihood.- 6. Examples of Predictive Analysis.- 7. Adapting and Combining Predictions; Future Directions.- 8 Summary and Conclusions.- Acknowledgements.- References.- References.- Author index.

When data is collected on failure or survival a list of times is obtained. Some of the times are failure times and others are the times at which the subject left the experiment. These times both give information about the performance of the system. The two types will be referred to as failure and censoring times (cf. Smith section 5). * A censoring time, t, gives less information than a failure time, for it is * known only that the item survived past t and not when it failed. The data is tn and of censoring thus collected as a list of failure times t , . . . , l * * * times t , t , . . . , t * 1 z m 2. 2. Classical methods The failure times are assumed to follow a parametric distribution F(t;B) with and reliability R(t;B). There are several methods of estimating density f(t;B) the parameter B based only on the data in the sample without any prior assumptions about B. The availability of powerful computers and software packages has made the method of maximum likelihood the most popular. Descriptions of most methods can be found in the book by Mann, Schafer and Singpurwalla (1974). In general the method of maximum likelihood is the most useful of the classical approaches. The likelihood approach is based on constructing the joint probability distrilmtion or density for a sample.

"A fascinating look inside the complexities and enjoyment of skiing. For every skier, from the beginner to the Olympic Gold Medalist, this book provides a treasure of information." -PAUL MAJOR, ATHLETIC DIRECTOR, U.S. SKI TEAM
"I was delighted to learn from this interesting book more about the physics of a sport I have enjoyed for more than seventy years." -NORMAN RAMSEY, NOBEL LAUREATE IN PHYSICS, HARVARD UNIVERSITY

This monograph contains four chapters, each of which provides a different perspective on biopesticides. Chapter One concerns the use of biopesticides in sustainable agriculture, including the interactions between biopesticides and chemical pesticides, production issues, and opportunities for future research. Chapter Two describes the bottom-up approach for using Bacillus thuringiensis (Bt) as a biopesticide and for enhancing host plant resistance against major foliage feeders through deployment of suitable cry genes. Chapter Three reviews strategies for mitigating the spread of Bt resistance and improving insecticidal activity against Bt-susceptible pests. Lastly, Chapter Four aims to revise, debate, and evaluate the effects of Bt as phosphate solubilizing and phosphorus uptake by plant establishment.

"The authors of this book contend that the civil service system, which was devised to create a uniform process for recruiting high-quality workers to government, is no longer uniform or a system. Nor does it help government find and retain the workers it needs to build a government that works. The current civil service system was designed for a government in which federal agencies directly delivered most public services. But over the last generation, privatization and devolution have increased the number and importance of government's partnerships with private companies, nonprofit organizations, and state and local governments. Government workers today spend much of their time managing these partnerships, not delivering services, and this trend will only accelerate in the future. The authors contend that the current system poorly develops government workers who can effectively manage these partnerships, resulting too often in a gap between promise and performance. This short, lively, and bipartisan volume, authored by the nation's leading experts on government management, describes what the government of the future will look like, what it will need to work well, and how in particular the nation can build the next generation of workers required to lead it. "

How can government leaders build, sustain, and leverage the cross-organizational collaborative networks needed to tackle the complex interagency and intergovernmental challenges they increasingly face? Tackling Wicked Government Problems: A Practical Guide for Developing Enterprise Leaders draws on the experiences of high-level government leaders to describe and comprehensively articulate the complicated, ill-structured difficulties they face - often referred to as "wicked problems" - in leading across organizational boundaries and offers the best strategies for addressing them. Tackling Wicked Government Problems explores howenterprise leaders use networks of trusted, collaborative relationships to respond and lead solutions to problems that span agencies. It also offers several approaches fortranslating social network theory into practical approaches for these leaders to build and leverage boundary-spanning collaborative networks and achieve real mission results. Finally, past and present government executives offer strategies for systematically developing enterprise leaders. Taken together, these essays provide a way forward for a new cadre of officials better equipped to tackle government's twenty-first-century wicked challenges.