Hasil Pencarian  ::  Simpan CSV :: Kembali

"Contents : Overview and descriptive statistics -- Probability -- Discrete random variables and probability distributions -- Continous random variables and probability distributions -- Joint probability distributions and randoms samples -- Point estimation -- Statistical intervals based on a single sample -- Test of hypotheses based on single sample -- Inferences based on two samples -- The analysis of variance -- Multifactor analysis of variance -- Simple linear regression and correlation -- Nonlinear and multiple regression -- Goodness-of-fit tests and caterogical data analysis"

"The papers in this volume attest to how Louis Chen’s cutting-edge ideas influenced and continue to influence such areas as molecular biology and computer science. He has developed applications of his work on Poisson approximation to problems of signal detection in computational biology. The original papers contained in this book provide historical context for Chen’s work alongside commentary on some of his major contributions by noteworthy statisticians and mathematicians working today. "

"Integrating concepts of financial engineering into traditional statistics courses, this book illustrates the role and scope of statistics and probability in various fields. It provides technical details for the derivation of various theorems, including the famous Black-Scholes option pricing formula."

"What is the role and meaning of probability in physical theory, in particular in two of the most successful theories of our age, quantum physics and statistical mechanics? Laws once conceived as universal and deterministic, such as Newton‘s laws of motion, or the second law of thermodynamics, are replaced in these theories by inherently probabilistic laws. This collection of essays by some of the world‘s foremost experts presents an in-depth analysis of the meaning of probability in contemporary physics. Among the questions addressed are: How are probabilities defined? Are they objective or subjective? What is their explanatory value? What are the differences between quantum and classical probabilities? The result is an informative and thought-provoking book for the scientifically inquisitive. "

"Questo testo, che nasce dall'esperienza didattica degli autori, si propone di introdurre gli aspetti fondamentali della teoria della probabilità e dei processi stocastici, guardando con particolare attenzione alle connessioni con la meccanica statistica, il caos, le applicazioni modellistiche ed i metodi numerici. La prima parte è costituita da un'introduzione generale alla probabilità con particolare enfasi sulla probabilità condizionata, le densità marginali e i teoremi limite. Nella seconda parte, prendendo spunto dal moto Browniano, sono presentati i concetti fondamentali dei processi stocastici (catene di Markov, equazione di Fokker- Planck). La terza parte è una selezione di argomenti avanzati che possono essere trattati in corsi della laurea specialistica."

"An introduction to measure-theoretic probability, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines that measure theoretic probability. This book requires no prior knowledge of measure theory, discusses all its topics in great detail, and includes one chapter on the basics of ergodic theory and one chapter on two cases of statistical estimation. There is a considerable bend toward the way probability is actually used in statistical research, finance, and other academic and nonacademic applied pursuits. "

"Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly collected, analyzed and interpreted in order for the results to be used with confidence.Award-winning author George Roussas introduces readers with no prior knowledge in probability or statistics to a thinking process to guide them toward the best solution to a posed question or situation. An introduction to probability and statistical inference provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations."

"Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis before embarking on the study of probability theory. The initial section will also be useful for those interested in topology, measure theory, real analysis and functional analysis. The second part of the book presents the concepts, methodology and fundamental results of probability theory. Exercises are included throughout the text, not just at the end, to teach each concept fully as it is explained, including presentations of interesting extensions of the theory. "