This graduate-level text offers a comprehensive account of the general theory of stationary processes and develops the foundations of the general theory of stochastic processes, examines processes with a continuous-time parameter, more. 1967 edition.
Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.
In 1878, Charles Erskine Scott Wood, builder of the Cats Estate, wrote "Good citizens are the riches of a city." From its beginning, Los Gatos has suffered no shortage of hardworking, inventive, entrepreneurial, and gifted people. Early orchardists found the land unbelievably productive, but their crops were threatened with disease and pesky infestations of gophers. John Bean and Zephyr Macabee provided solutions. Louise Van Meter was an unconventional teacher who championed the new concept of kindergarten. Neta Snook Southern defied traditional female roles to become a pilot. She taught Amelia Earhart to fly before retiring to Los Gatos, where she raised prunes, apricots, and miniature horses. John Steinbeck wrote The Grapes of Wrath during one long, hot summer in town. Steve Wozniak settled in Los Gatos and donated computers to schools. The lives presented here have contributed to the sparkling legacy of the "Gem City of the Foothills.
Introduction to Probability Models, Fifth Edition focuses on different probability models of natural phenomena. This edition includes additional material in Chapters 5 and 10, such as examples relating to analyzing algorithms, minimizing highway encounters, collecting coupons, and tracking the AIDS virus. The arbitrage theorem and its relationship to the duality theorem of linear program are also covered, as well as how the arbitrage theorem leads to the Black-Scholes option pricing formula. Other topics include the Bernoulli random variable, Chapman-Kolmogorov equations, and properties of the exponential distribution. The continuous-time Markov chains, single-server exponential queueing system, variations on Brownian motion; and variance reduction by conditioning are also elaborated. This book is a good reference for students and researchers conducting work on probability models.
In this long overdue and affectionate salute, celebrated comedy historian Robert Ross pays tribute to some of the finest, funniest and most fascinating names in comedy from both sides of the Atlantic. Monty Python’s Terry Jones wrote the foreword. With the passionate input of such comics as Tim Brooke-Taylor, Hattie Hayridge, Roy Hudd, Michael Palin, Ross Noble, Chris Addison and Bernard Cribbins, Ross honours these legends of humor who, for a variety of reasons, didn't quite reach the heady heights of stardom or, once they had, couldn't cope with the pressures. Whether it is a favorite from the distant smoke- and ale-stained world of the Music Hall like the great George Robey, or the downbeat poetry of Hovis Presley, who dropped disenchanted bombs on the late 1990s, Forgotten Heroes of Comedy will finally elevate them to the Hall of Fame where they belong. Forgotten, no longer. UK Joe Baker UK Eric Barker UK Alfie Bass UK Michael Bates India (to English parents) David Battley UK Michael Bentine UK Harold Berens UK Wilie Best USA Alec Bregonzi UK Michael Ward UK Douglas Byng UK Marti Caine UK Esma Cannon Australia (but moved to UK) Patrick Cargill UK Jimmy Clitheroe UK Danny Ross UK Billy Dainty UK Janet Davies UK Florence Desmond UK Jerry Desmonde UK Eddie Leslie UK Maidie Dickson UK Charlie Drake UK Jimmy Edwards UK Gus Elen UK Ray Ellington UK Dick Emery UK Pierre Etaix France Barry Evans UK Mario Fabrizi UK Doug Fisher UK Ronald Frankau UK Leslie Fuller UK Dustin Gee UK Peter Glaze UK Tommy Godfrey UK Harry Locke UK Ken Goodwin UK Bernard Gorcey Russia (died USA) Bert Gordon USA Monsewer' Eddie Gray UK Raymond Griffith USA Deryck Guyler UK Brian Hall UK Lloyd Hamilton USA Arthur Haynes UK Richard Hearne UK Dickie Henderson UK Gerard Hoffnung Germany (died UK) Shemp Howard USA Nat Jackley UK Rex Jameson UK Spike Jones USA John Junkin UK Dave King UK Roy Kinnear UK Dennis Kirkland UK Patsy Knox USA Debbie Linden UK Hugh Lloyd UK Malcolm McFee UK Moore Marriott UK Graham Moffatt UK Ray Martine UK Zeppo Marx USA Glenn Melvyn UK Eric Merriman UK Christopher Mitchell UK Albert Modley UK Robert Moreton UK Gladys Morgan UK Lily Morris UK Richard Murdoch UK Tom E. Murray USA David Nixon UK Larry Noble UK Ole Olsen USA Chic Johnson USA Ken Platt UK Sandy Powell UK Vince Powell UK Hovis Presley UK Cardew Robinson UK Joe E. Ross USA Patsy Rowlands UK Derek Roy UK Derek Royle UK Leslie Sarony UK Larry Semon USA Ronald Shiner UK Johnnie Silver USA Dennis Spicer UK Larry Stephens UK Jake Thackray UK Thelma Todd USA Jack Train UK Karl Valentin Germany Liesl Karlstadt Germany Norman Vaughan UK Tom Walls UK Ralph Lynn UK Elsie and Doris Waters UK Rita Webb UK John Wells UK George and Kenneth Western UK Gordon Wharmby UK Bert Wheeler USA Robert Woolsey USA Albert Whelan Australia (died UK) Robb Wilton UK Mike and Bernie Winters UK Georgie Wood UK Dolly Harmer UK Harry Worth UK Mario Zampi Italy (died UK)
A nonmeasure theoretic introduction to stochastic processes. Considers its diverse range of applications and provides readers with probabilistic intuition and insight in thinking about problems. This revised edition contains additional material on compound Poisson random variables including an identity which can be used to efficiently compute moments; a new chapter on Poisson approximations; and coverage of the mean time spent in transient states as well as examples relating to the Gibb's sampler, the Metropolis algorithm and mean cover time in star graphs. Numerous exercises and problems have been added throughout the text.
Discover the seamy history of nineteenth-century England that has inspired countless crime novels and films. Victorian London: All over the city, watches, purses, and handkerchiefs disappear from pockets; goods migrate from warehouses, off docks, and out of shop windows. Burglaries are rife, shoplifting is carried on in West End stores, and people fall victim to all kinds of ingenious swindles. Pornographers proliferate and an estimated eighty thousand prostitutes operate on the city’s streets. Even worse, the vulnerable are robbed in dark alleys or garroted, a new kind of mugging in which the victim is half-strangled from behind while being stripped of his possessions. This history takes you to nineteenth-century London’s grimy rookeries, home to thousands of the city’s poorest and most desperate residents. Explore the crime-ridden slums, flash houses, and gin palaces from a unique street-level view—and meet the people who inhabited them.
Non-Linear Estimation is a handbook for the practical statistician or modeller interested in fitting and interpreting non-linear models with the aid of a computer. A major theme of the book is the use of 'stable parameter systems'; these provide rapid convergence of optimization algorithms, more reliable dispersion matrices and confidence regions for parameters, and easier comparison of rival models. The book provides insights into why some models are difficult to fit, how to combine fits over different data sets, how to improve data collection to reduce prediction variance, and how to program particular models to handle a full range of data sets. The book combines an algebraic, a geometric and a computational approach, and is illustrated with practical examples. A final chapter shows how this approach is implemented in the author's Maximum Likelihood Program, MLP.
Learn how to dowse beginning with water and other easily verifiable and traditional subjects, moving toward accessing information of every kind, working beyond the confines of space and time. Instructions are given in the use of various dowsing devices as well as remote healing.
The greatest public health victories of the last century -- public sanitation, vehicle safety measures, limits on smoking and tobacco use -- have all been facilitated by public policies. While policy is an unparalleled tool for effecting change in public health, most professionals are unprepared to plan, apply, or study policy in a consequential way. Prevention, Policy, and Public Health provides a basic foundation for students, professionals, and researchers to be more effective in the policy arena. It offers information on the dynamics of the policymaking process, theoretical frameworks, analysis, and policy applications. It also offers tools for advocacy and communication, two integral aspects of shaping policies for public health. Organized around the leading risk factors for premature death and supplemented with illustrative case study examples, this book will help professionals and researchers understand the dimensions of policy, which can in turn inform the conduct of research and evaluation. These skills, combined with an understanding of opportunities and limitations within governments, can be highly applicable to designing effective policies and programs. With current pressures to implement broad and sustainable public health improvements, policies are more important than ever for anyone in the study and practice of public health. This book can be considered a primer to truly understanding the connection between prevention, policy, and public health.
What does it mean to “educate for responsibility”? The author of this book will teach you about the new way of engaging young people with the challenge of changing their world for the better. Designed for application in any educational context dealing with ethics, responsibility, or human development, this book explains in detail how to facilitate anyone’s ability to think and act in more fully responsible ways. In contrast to the predominant model of teaching, which is almost exclusively an intellectual education about responsibility, educating for responsibility integrates emotion, insight, observation, and action so anyone can learn the true dynamics of exercising this resilient capacity. Inside, educating for responsibility is explained and a template offered for a creative way of teaching that has proven to be extremely effective in practice. Written particularly for those offering courses or training in social responsibility, sustainability, or business ethics, it offers a new way of thinking about how we might better serve the interests of a generation of young people entering a rapidly changing, and by all accounts, rapidly destabilizing world.
Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. A new section (3.7) on COMPOUND RANDOM VARIABLES, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions. A new section (4.11) on HIDDDEN MARKOV CHAINS, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states. Simplified Approach for Analyzing Nonhomogeneous Poisson processes Additional results on queues relating to the (a) conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; (b) inspection paradox for M/M/1 queues (c) M/G/1 queue with server breakdown Many new examples and exercises.
A Roman centurion sent to the empire’s distant northern edge encounters treachery beyond Hadrian’s Wall in this historical epic series debut. Roman Britain, Fourth Century AD. Once a soldier in an elite legion from the Danube, newly promoted centurion Aurelius Castus now finds himself stuck in the provincial backwater of Britannia. Just beyond Hadrian’s Wall are a savage people allied with Rome known as the Picts. When their king dies under mysterious circumstances, an envoy must be sent to negotiate with their new leader. And Castus is selected to command the envoy’s bodyguard. What starts as a simple diplomatic mission ends in bloody tragedy. As Castus and his men fight for their lives, the legionnaire discovers that nothing about his doomed mission was ever what it seemed. The first book in Ian James Ross’s Twilight of Empire series, War at the Edge of the World is an exciting debut from an author as gifted at telling a story as he is at bringing the Late Roman Empire to life.
In this comprehensive overview, readers will gain a better understanding of the various theories, perspectives, and research that characterize contemporary themes in child development. The book uses a contextual approach to examine the biological, cognitive, social, and emotional foundations of child development. Special attention is paid throughout to the contexts in which development occurs, including families and the larger culture, and how these intersect with our changing society.
When managing massive amounts of information is part of your job and daily life, how do you transform a feeling of being overwhelmed into a sense of abundance and empowerment? This groundbreaking guide delivers the practical insights and strategies you need to build a positive relationship with information and excel at work and in all your ventures. Ross Dawson draws on his work as a leading futurist and 25 years of research into the practices that transform a surplus of information into compelling value. In Thriving on Overload, he shares simple actionable techniques for staying ahead in an accelerating world. It’s all about choosing to thrive on overload―rather than being overwhelmed by it. Develop the five intertwined powers that enable extraordinary performance in a world of overload: Purpose: understanding why you engage with information enables a healthier relationship that generates success and balance in your life Framing: creating frameworks that connect information into meaningful patterns builds deep knowledge, insight, and world-class expertise Filtering: discerning which information best serves you helps surface valuable signals above the pervasive noise Attention: allocating your awareness with intent—including laser-like focus and serendipitous discovery—maximizes productivity and outcomes Synthesis: expanding your capacity to integrate a universe of ideas yields powerful insight, the ability to see opportunities first, and improved decision-making Discover valuable lessons from some of the world’s most extraordinary “information masters”—entrepreneurs, investors, executives, and researchers who excel at transforming vast mines of data into the solid gold of insight and effective action.Packed with clear guidance, useful exercises, engaging stories, and handy resources, Thriving on Overload helps you build the capabilities that enable you to outperform your peers and prosper as never before in a world defined by excessive information.
This graduate-level text offers a comprehensive account of the general theory of stationary processes and develops the foundations of the general theory of stochastic processes, examines processes with a continuous-time parameter, more. 1967 edition.
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