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Time Series Analysis
  • Language: en
  • Pages: 501

Time Series Analysis

This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.

Chaos: A Statistical Perspective
  • Language: en
  • Pages: 312

Chaos: A Statistical Perspective

This book discusses dynamical systems that are typically driven by stochastic dynamic noise. It is written by two statisticians essentially for the statistically inclined readers. It covers many of the contributions made by the statisticians in the past twenty years or so towards our understanding of estimation, the Lyapunov-like index, the nonparametric regression, and many others, many of which are motivated by their dynamical system counterparts but have now acquired a distinct statistical flavor.

Financial Analytics with R
  • Language: en
  • Pages: 397

Financial Analytics with R

Financial Analytics with R sharpens readers' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.

Statistical Models and Methods for Financial Markets
  • Language: en
  • Pages: 363

Statistical Models and Methods for Financial Markets

The idea of writing this bookarosein 2000when the ?rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in ?nancial mathematics at Stanford, which is an interdisciplinary program that aims to provide a master’s-level education in applied mathematics, statistics, computing, ?nance, and economics. Students in the programhad di?erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and ST...

Nonlinear Dynamics and Time Series
  • Language: en
  • Pages: 262

Nonlinear Dynamics and Time Series

Lars Ahlfors's Lectures on Quasiconformal Mappings, based on a course he gave at Harvard University in the spring term of 1964, was first published in 1966 and was soon recognized as the classic it was shortly destined to become. These lectures develop the theory of quasiconformal mappings from scratch, give a self-contained treatment of the Beltrami equation, and cover the basic properties of Teichmuller spaces, including the Bers embedding and the Teichmuller curve. It isremarkable how Ahlfors goes straight to the heart of the matter, presenting major results with a minimum set of prerequisites. Many graduate students and other mathematicians have learned the foundations of the theories of...

Financial Econometrics
  • Language: en
  • Pages: 392

Financial Econometrics

‘Financial Econometrics’ is a comprehensive guide to analyze financial data using econometric techniques. The book covers both basic and advanced topics in time series analysis, regression models, and volatility modeling. It also includes chapters on panel data analysis, financial market microstructure, and applications of machine learning in finance. This book is designed for students, researchers, and finance professionals who seek to enhance their skills in financial data analysis and make more accurate predictions. With real-world examples and practical applications, ‘Financial Econometrics’ provides the essential tools for success in financial analysis.

The R Book
  • Language: en
  • Pages: 953

The R Book

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and in...

Hung Ga Story
  • Language: en
  • Pages: 94

Hung Ga Story

Hung Ga Story is a memoir of Alberto Biraghi and his martial arts journey. Alberto studied the traditional Hung Ga Kyun in Hong Kong with the late Grand Master Chan Hon Chung, spending with him more than a month per year from 1977 until the closing of his historic gym at 729 of Nathan Road. Hung Ga Kyun (also spelled as Hung Gar Kuen) is one of the most famous schools of Chinese martial arts, originating from legendary Southern Shaolin. Hung Ga Kung Fu is know for its “Iron Bridges, Firm Stances”, powerful strikes and swift, invisible “No Shadow Kicks”. Hung Ga is sometimes called “Tiger and Crane System”(Fu Hok Paai). However, the complete Hung Ga Kyun arsenal includes “Five Animals”, “Five Elements” and “Twelve Bridges”. Are you curious about traditional Kung Fu training in Hong Kong in 1970’s and 1980’s? Alberto's memoirs offer a unique insight into the world of the Southern Chinese Kung Fu, it's training principles, application and philosophy.

Statistical Learning and Data Science
  • Language: en
  • Pages: 242

Statistical Learning and Data Science

  • Type: Book
  • -
  • Published: 2011-12-19
  • -
  • Publisher: CRC Press

Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data wor

Markov Chains and Stochastic Stability
  • Language: en
  • Pages: 623

Markov Chains and Stochastic Stability

New up-to-date edition of this influential classic on Markov chains in general state spaces. Proofs are rigorous and concise, the range of applications is broad and knowledgeable, and key ideas are accessible to practitioners with limited mathematical background. New commentary by Sean Meyn, including updated references, reflects developments since 1996.