Brillinger, David R.  | SIAM

0원  | 20210101  | 9780898715019

 | CRC Press

195,580원  | 20191209  | 9781439876510

The book provides the foundation of time series methods, including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth, as well as frequency domain methods.

 | Anson Street Press

29,300원  | 20250328  | 9781022938731

Step back in time to experience colonial life in New England with "The Olden Time Series: Vol. 2: The Days of the Spinning-Wheel in New England." This volume offers a fascinating glimpse into the domestic lives of early Americans, focusing on the vital role of spinning in their daily routines.Drawn chiefly from old newspapers of Boston and Salem, Massachusetts, these gleanings provide unique insights into the era.

 |

0원  | 20250523  | 9781138742949

Now in its sixth edition, this book provides an accessible, comprehensive introduction to the theory and practice of time series analysis. It covers a wide range of topics, including ARIMA probability models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It also addresses nonlinear, multivariate, and long-memory models. Building on the success of earlier editions, the sixth edition was thoroughly revised and updated, and all of the data sets are available for download from the Internet. Its polished presentation and broad coverage make this simply the best introductory text on the subject available.

 | Springer Nature B.V.

73,480원  | 20221022  | 9783031132148

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.

Mihalis Tsoukalos  | Packt Publishing

29,000원  | 20230630  | 9781838821951

Build and use the most popular time series index available today with Python to search and join time series at the subsequence level Purchase of the print or Kindle book includes a free PDF eBook Key Features - Learn how to implement algorithms and techniques from research papers - Get to grips with building time series indexes using iSAX - Leverage iSAX to solve real-world time series problems Book Description Time series are everywhere, ranging from financial data and system metri

 | Chapman & Hall

0원  | 20250523  | 9781315898032

To Cohn Tukey we can pay the highest tribute possible to a statistician: he has profoundly affected the way we analyze data. The Collected Works demonstrate this.

 | Springer Nature B.V.

73,480원  | 20230621  | 9789819923007

This book is designed to fulfill a long felt need for a wide ranging empirical research on foreign capital-growth nexus. It presents an analysis of disaggregated flows of foreign capital and their long run relationship with growth process in an emerging nation like India during the past four decades. The study detects factors like financial deepening, trade openness and market size, as potential determinants of FDI.

 | Anson Street Press

29,300원  | 20250328  | 9781022979970

Delve into the fascinating world of early American letters with "The Olden Time Series, Vol. 6: Literary Curiosities." Compiled by Henry M. Brooks, this volume offers a unique glimpse into the literary landscape of Boston and Salem, Massachusetts, primarily through gleanings from old newspapers. Discover a treasure trove of literary curiosa reflecting the tastes, opinions, and daily lives of New Englanders in bygone eras.

 | Anson Street Press

29,300원  | 20250328  | 9781022916470

Step back into 17th-century New England with Henry M. Brooks' "The Olden Time Series, Vol. 3: New-England Sunday." This meticulously researched volume offers a fascinating glimpse into the religious life and customs surrounding the observance of Sunday in early Massachusetts. Drawn primarily from old newspapers of Boston and Salem, this book provides unique insights into the traditions and social norms of the Puritans.

 | Anson Street Press

25,630원  | 20250328  | 9781023102896

Delve into the fascinating, and often unsettling, world of early American justice with Henry M. Brooks' "Some Strange and Curious Punishments," a meticulously researched glimpse into colonial Massachusetts. Drawing primarily from the archives of Boston and Salem newspapers, this volume from the "Olden Time Series" offers a captivating look at the punishments meted out for various crimes in the formative years of New England.

 | Mdpi AG

159,230원  | 20240312  | 9783725804771

The analysis and modeling of time series has been an active research area for more than 100 years, with the main focus on time series having a continuous range consisting of real numbers or real vectors. It took until the 1980s for the first papers on discrete-valued time series to appear. In the 2000s, a rapid increase in research activity was noted, but only in the last few years was a certain maturity and consolidation of the area of discrete-valued time series observed.

 | CRC Press

104,190원  | 20240527  | 9780367543891

Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.

Gao, Jiti  | CRC Press

340,200원  | 20210101  | 9781584886136

Focuses on the various semiparametric methods in model estimation, specification testing, and selection of time series data. This book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data.

 | KS OmniScriptum Publishing

93,710원  | 20250624  | 9786206184614

This book determines the trend and variability of a time series data, focused on traditional time series models forecast analysis and their volatility and also focuses on a comparative study of different existing individual and combination forecasts with a proposed Hybrid Stochastic Model (HSM) forecast procedure.