Random

William Tinsley (1830–1900) was a noted Victorian publisher whose catalogue included works by such celebrated novelists as Thomas Hardy and Wilkie Collins. This two-volume autobiography, first published in 1900, traces his life from his rural childhood to the establishment and rise of the Tinsley Brothers company in 1858, and its later collapse. Each chapter contains a series of brief sketches of authors and other contemporaries. Volume 2 charts Tinsley's later career, and features several lengthier portraits of some of the personalities he encountered. It also includes information on Victorian playwrights and actors, along with a detailed section on the history of Sadler's Wells theatre. Based on Tinsley's personal recollections, and incorporating letters as well as anecdotal information, these volumes will fascinate anyone interested in the history of publishing and the development of the nineteenth-century novel.

An important treatment of the geometric properties of sets generated by random fields, including a comprehensive treatment of the mathematical basics of random fields in general. It is a standard refe

A timely update of the classic book on the theory and application of random data analysis First published in 1971, Random Data served as an authoritative book on the analysis of experime

The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial). This diverse array of tools, while attesting to the vitality of the field, presents several formidable obstacles to the newcomer, and even the expert probabilist. This rigorous introduction to the basic theory is sufficiently self-contained to be accessible to graduate students in mathematics or related sciences, who have mastered probability theory at the graduate level, but have not necessarily been exposed to advanced notions of functional analysis, algebra or geometry. Useful background material is collected in the appendices and exercises are also included throughout to test the reader's understanding. Enumerative techniques, stochastic analysis, large deviations, concentration inequalities, disintegration and Lie algebras all are introduced in the text, which will enable readers to approach

This book focuses on the behaviour of large random matrices. Standard results are covered, and the presentation emphasizes elementary operator theory and differential equations, so as to be accessible to graduate students and other non-experts. The introductory chapters review material on Lie groups and probability measures in a style suitable for applications in random matrix theory. Later chapters use modern convexity theory to establish subtle results about the convergence of eigenvalue distributions as the size of the matrices increases. Random matrices are viewed as geometrical objects with large dimension. The book analyzes the concentration of measure phenomenon, which describes how measures behave on geometrical objects with large dimension. To prove such results for random matrices, the book develops the modern theory of optimal transportation and proves the associated functional inequalities involving entropy and information. These include the logarithmic Sobolev inequality,

Random sampling and random assignment are considered by many researchers to be the definitive methodological procedures for maximizing external and internal validity. However, there is a daunting list

Written by the author of The Zen Book and Zen Cards, Zen Life is a compilation of 108 Zen stories and aphorisms, ancient and modern, which are meant to be opened at random and consulted for their wis

Taking into account the uniquely multidisciplinary demands of 21st century science and engineering, Random Phenomena: Fundamentals of Probability and Statistics for Engineers provides students with a

Random Vibration in Spacecraft Structures Design is based on the lecture notes "Spacecraft structures" and "Special topics concerning vibration in spacecraft structures" from courses given at Delft Un

This wide-ranging reference work addresses the entire field of mechanical vibration and shock as one of the most important types of load and stress applied to structures, machines and components in t

This handbook describes advances in large scale network studies that have taken place in the past 5 years since the publication of the Handbook of Graphs and Networks in 2003. It covers all aspects of

The aim of the book is to give a user friendly tutorial of an interdisciplinary research topic (fronts in random media) to senior undergraduates and beginning graduate students with basic knowledge o

石田由美是個超怕男生的１４歲女孩，但是身上卻常常背著一大包求生工具，這是為什麼呢？其實…她擁有瞬間移動的異於常人的體質！她不但會不規則地忽然間消失，而且被男生摸胸部也會瞬間移動！和鰹魚一起被撈上船、被捲入叢林戰、在非洲剛果被超級毒蛇追趕…甚至被心理變態盯上！擁有特異體質的由美總是陷入最危險的狀況！她要如何化解這些危機呢？

Roderick Random (1748), Smollett's first novel, is full of the dazzling vitality characteristics of all his work, as well as of his own life. Roderick is the boisterous and unprincipled hero who answ

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when us

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables systematic development of optimal vision algorithms when used

Classical probability theory provides information about random walks after a fixed number of steps. For applications, however, it is more natural to consider random walks evaluated after a random num

The book develops the dynamical theory of scattering from random media from first principles. Its key findings are to characterize the time evolution of the scattered field in terms of stochastic dif

A timely and comprehensive treatment of random field theory with applications across diverse areas of study Level Sets and Extrema of Random Processes and Fields discusses how to understand the prope

Trees are a fundamental object in graph theory and combinatorics as well as a basic object for data structures and algorithms in computer science. During the last years research related to (random) tr

Stochastic process models are a kind of mathematics that offers enormous opportunities for application to a wide range of problems in the real world, says Solberg (Purdue U.), but almost no one knows

Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity t

This simple-to-use, exceptionally complete reference work has been updated, expanded and redesigned to meet the needs of today's most demanding wordsmiths. Included here are over 10,000 new entries -

The French poet, Theophile Gautier once asked, "Who can believe that there is no soul behind those luminous eyes?" And it's true - if you have ever loved an animal, you know that there is something sp

This expanded version of the popular Random House Webster’s Pocket Grammar, Usage, and Punctuation offers a clear and precise guide to English. This version includes brand new sections on punctuation,

This book presents state of the art methods for accommodating model uncertainty in random effects and latent variable models. It is divided into four sections featuring articles by experts in the vari

This book focuses on the asymptotic behaviour of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions. Large deviation probabilities are of great interest in numerous applied areas, typical examples being ruin probabilities in risk theory, error probabilities in mathematical statistics, and buffer-overflow probabilities in queueing theory. The classical large deviation theory, developed for distributions decaying exponentially fast (or even faster) at infinity, mostly uses analytical methods. If the fast decay condition fails, which is the case in many important applied problems, then direct probabilistic methods usually prove to be efficient. This monograph presents a unified and systematic exposition of the large deviation theory for heavy-tailed random walks. Most of the results presented in the book are appearing in a monograph for the first time. Many of them we

The Random House Webster’s Compact American Sign Language Dictionary is a treasury of over 4,500 signs for the novice and experienced user alike. It includes complete descriptions of each sign, plus f

The Random House Webster’s Unabridged American Sign Language Dictionary is a treasury of over 5,600 signs for the novice and experienced user alike. It includes complete descriptions of each sign, plu

The main theme of this book is the interplay between the behaviour of a class of stochastic processes (random walks) and discrete structure theory. The author considers Markov chains whose state space is equipped with the structure of an infinite, locally finite graph, or as a particular case, of a finitely generated group. The transition probabilities are assumed to be adapted to the underlying structure in some way that must be specified precisely in each case. From the probabilistic viewpoint, the question is what impact the particular type of structure has on various aspects of the behaviour of the random walk. Vice-versa, random walks may also be seen as useful tools for classifying, or at least describing the structure of graphs and groups. Links with spectral theory and discrete potential theory are also discussed. This book will be essential reading for all researchers working in stochastic process and related topics.

The Random House Webster’s Pocket American Sign Language Dictionary is a treasury of over 1,000 signs for the novice and experienced user alike. It includes complete descriptions of each sign, plus fu

This excellent advanced text rigorously covers several topics related to random signal processing. Geared toward students of electrical engineering, its material is sufficiently general to be applicab

When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.

"At various times during the nineteenth century, administrators, missionaries, and government officials had stressed the poor economic conditions of the Marina Islands, pleading for the implementation

This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with p

A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of this book. It provides a comprehens

Hurd (statistics, The University of North Carolina-Chapel Hill) and Miamee (mathematics, Hampton University) present the main ideas of periodically correlated (or cyclostationary) processes, combining

An omnibus edition of 200 casual crosswords!‧ Straightforward, uncomplicated puzzles are carefully crafted and meticulously tested to assure that they're not too difficult.‧ Every page includes helpfu