569,91 zł

Multivariate Time Series Analysis and Applications John Wiley and Sons Ltd

Książki / Literatura obcojęzyczna

Due to high-speed internet and the power and speed of the new generation of computers, a researcher now faces somevery challenging phenomena and must deal with an ever-increasing amount of data.

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659,99 zł

Multivariate Time Series Analysis

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>EconomicsKsiążki Obcojęzyczne>Angielskie>Mathematics & scienc...

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1197,11 zł

Course in Time Series Analysis John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic concepts in univariate time series, providing an up-to-date presentation of ARIMA models, including the Kalman filter, outlier analysis, automatic methods for building ARIMA models, and signal extraction. They then move on to advanced topics, focusing on heteroscedastic models, nonlinear time series models, Bayesian time series analysis, nonparametric time series analysis, and neural networks. Multivariate time series coverage includes presentations on vector ARMA models, cointegration, and multivariate linear systems.Special features include: * Contributions from eleven of the worlda s leading figures in time series * Shared balance between theory and application * Exercise series sets * Many real data examples * Consistent style and clear, common notation in all contributions *60 helpful graphs and tables Requiring no previous knowledge of the subject, A Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics, business, engineering, and environmental analysis. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.

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886,57 zł

Time Series Analysis John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Since publication of the first edition in 1970, "Time SeriesAnalysis" has served as one of the most influential andprominent works on the subject. This new edition maintains itsbalanced presentation of the tools for modeling and analyzing timeseries and also introduces the latest developments that haveoccurred in the field over the past decade through applicationsfrom areas such as business, finance, and engineering. Along withthe addition of a new co-author, Greta Ljung, a student of GeorgeBox, the Fifth Edition provides a clearly written exploration ofthe key methods for building, classifying, testing, and analyzingstochastic models for time series as well as their use in fiveimportant areas of application: forecasting; determining thetransfer function of a system; modeling the effects of interventionevents; developing multivariate dynamic models; and designingsimple control schemes. New to this edition are more exercises;streamlined chapter introductions; updated examples and references;increased coverage of multivariate time series and their use infinancial applications; SV models, MCMC based inference, andBayesian Network modeling; and the incorporation of the'R' freeware language.

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148,83 zł

Applied Time Series Analysis and Forecasting with Python Springer, Berlin

Książki / Literatura obcojęzyczna

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

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479,86 zł

Time Series Analysis and Its Applications Springer International Publishing AG

Książki / Literatura obcojęzyczna

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods.This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book's website for download, making all the data sets and scripts easy to load into R.

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578,15 zł

Applied Time Series Analysis and Forecasting with Python Springer, Berlin

Książki / Literatura obcojęzyczna

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

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194,99 zł

The Analysis of Time Series. An Introduction TAYLOR & FRANCIS LTD.

Książki obcojęzyczne / angielskie

`As an introduction to techniques for analyzing discrete time series, this textbook explains probability models, the spectral density function, time-invariant linear systems, state-space models, nonlinear models, and multivariate time series models.`--`Book News, Inc..`

Sklep: Literacka.pl

635,73 zł

Time Series Analysis by State Space Methods Oxford University Press

Książki / Literatura obcojęzyczna

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series. Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations. Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.

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408,31 zł

Introduction to Time Series and Forecasting Springer International Publishing AG

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This book teaches time series and forecasting methods with an emphasis on the fundamentals of data set analysis. It is designed for use in a full-year introduction to univariate and multivariate time series course. This book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The logic and tools of model-building for stationary and nonstationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introductions are also given to cointegration and to nonlinear, continuous-time and long-memory models. The free time series package that accompanies this book is ITSM2000, though the methods can be easily applied to time series packages in other programs, including R. The programs in ITSM are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis.

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512,72 zł

Time Series Models Springer, Berlin

Książki / Literatura obcojęzyczna

This textbook provides a self-contained presentation of the theory and models of time series analysis. Putting an emphasis on weakly stationary processes and linear dynamic models, it describes the basic concepts, ideas, methods and results in a mathematically well-founded form and includes numerous examples and exercises. The first part presents the theory of weakly stationary processes in time and frequency domain, including prediction and filtering. The second part deals with multivariate AR, ARMA and state space models, which are the most important model classes for stationary processes, and addresses the structure of AR, ARMA and state space systems, Yule-Walker equations, factorization of rational spectral densities and Kalman filtering. Finally, there is a discussion of Granger causality, linear dynamic factor models and (G)ARCH models. The book provides a solid basis for advanced mathematics students and researchers in fields such as data-driven modeling, forecasting and filtering, which are important in statistics, control engineering, financial mathematics, econometrics and signal processing, among other subjects.

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563,27 zł

Singular Spectrum Analysis Springer-Verlag New York Inc.

Książki / Literatura obcojęzyczna

The term singular spectrum comes from the spectral (eigenvalue) decomposition of a matrix A into its set (spectrum) of eigenvalues. These eigenvalues, A, are the numbers that make the matrix A -AI singular. The term singular spectrum analysis

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255,35 zł

Schwager on Futures Technical Analysis SG John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

The definitive guide to technical analysis ...written from a trader's perspective With the keen insight and perspective that have made him a market legend, Jack D. Schwager explores, explains, and examines the application of technical analysis in futures trading. In the most in-depth, comprehensive book available, the bestselling investment writer demonstrates why he is one of today's foremost authorities. Here is the one volume no trader should be without. "Jack Schwager has accomplished the rarest of feats in this book. He has presented material in a way that both the professional and layman can profit from. It is a must read for traders on all levels." - Stanley Druckenmillern Managing Director, Soros Fund Management "Jack Schwager's Technical Analysis is exactly what one should expect from this expert on futures. The book is comprehensive, thoroughly insightful, and highly educational. I recommend it to the beginner as well as the expert." - Leo Melamed Chairman, Sakura Dellsher, Inc. "Jack Schwager possesses a remarkable ability to extract the important elements of complex, market-timing approaches, and distill that into something intelligible and useful.Not only is he able to present these ideas cleverly in an easily understood format, but he also demonstrates their application to the markets with clarity and precision." - Thomas R. DeMark Author, The New Science of Technical Analysis "Jack Schwager's book, A Complete Guide to the Futures Markets, was one of the best books I have read on futures trading. We give a copy of it to all our new analysts. Jack's latest work, Technical Analysis, looks like a gold mine of information, adding significantly to the existing investment literature." - Monroe Trout President, Trout Trading Management Co. Jack Schwager is one of the most important and visible figures in the futures industry today. His Market Wizards and The New Market Wizards are two of the bestselling finance titles of all time. Now, in the latest volume in the Schwager on Futures series, Technical Analysis, Schwager has created the most comprehensive guide ever for using technical analysis for futures trading. What makes Technical Analysis unique, besides its in-depth coverage, is that it is written from a trader's perspective.Schwager doesn't merely cover the subject, he explores what works and doesn't work in the real world of trading. Contains a comprehensive guide to chart analysis written with a particular focus on trading applications Includes a separate 200+ page section illustrating the use of chart analysis in the real world Details and illustrates several original trading systems Includes a self-contained primer on cyclical analysis Describes popular oscillators, the pitfalls in their common use, and guidelines to their successful application in trading Explains the concept and use of "continuous futures" and compares 10-year continuous futures charts with conventional nearest futures charts for all major U.S. futures markets Contains a section on trading strategy and philosophy, including over 100 trading tips Hundreds of charts, tables, and examples illustrate key points throughout, while the text is written in the informative, insightful, and nontechnical style that has made Jack Schwager one of the most highly regarded and bestselling investment authors ever.This invaluable book by one of the world's foremost authorities is destined to become the premier industry guide on technical analysis for many years to come.

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11,15 zł

Spalona Żywcem Wyd. Kieszonkowe - Souad

Książki & Multimedia > Książki

Opis - Pierwsze na świecie świadectwo ofiary zbrodni honorowej. Miała siedemnaście lat i zakochała się: zhańbiła rodzinę. Więc rodzina wydała na nią wyrok śmierci... Pokochała go pierwszą miłością. Myślała, że się z nią ożeni. Ale ukochany zniknął, a ona odkryła, że jest w ciąży. A w jej świecie to najcięższa zbrodnia... W zapomnianej przez Boga wiosce w Cisjordanii kobiety są warte mniej niż zwierzęta domowe. Tu mężczyzna jest panem życia i śmierci żony, córki, siostry. Brat może bezkarnie zabić siostrę, matka - córkę, kolejną bezużyteczną dziewczynkę, jaka się urodzi. Tu kobiecie odbiera się godność, a nawet życie zgodnie z odwiecznym obyczajem i uświęconą tradycją. A śmierć jest karą dla dziewczyny, która zhańbi rodzinę. Tak jak Souad. Wyrok wydaje jej ojciec. Szwagier dokonuje egzekucji. Oblewa Souad benzyną i podpala... SOUAD przeżyła - cudem, ale rodzina usiłowała zabić ją nawet w szpitalu. Na zawsze jednak pozostanie straszliwie okaleczona - na ciele i duszy. I wciąż musi się ukrywać; dopóki żyje, jej rodzinę okrywa hańba. Spalona żywcem, opublikowana pod pseudonimem szokująca opowieść o piekle, jakim było jej dzieciństwo i młodość, stała się międzynarodowym bestsellerem. Wydana w 37 w krajach książka przerywa tabu milczenia wobec istniejącej nadal w krajach muzułmańskich barbarzyńskiej tradycji. Nieludzkiego obyczaju, prawa mężczyzn, na mocy którego co najmniej pięć tysięcy kobiet pada co roku ofiarą zbrodni honorowej. Nazwa - Spalona Żywcem Wyd. Kieszonkowe Autor - Souad Oprawa - Miękka Wydawca - Amber Kod ISBN - 9788324159406 Kod EAN - 9788324159406 Wydanie - 1 Rok wydania - 2016 Tłumacz - 31182,maria rostworowska; Format - 110 x 175 x 14 Ilość stron - 224 Podatek VAT - 5% Premiera - 2016-06-23

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413,94 zł

Python Recipes for Earth Sciences Springer, Berlin

Książki / Literatura obcojęzyczna

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.

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