Tag: Estimation

September 10, 2024

Flexible Nonparametric Curve Estimation

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Free Download Flexible Nonparametric Curve Estimation
English | 2024 | ISBN: 3031665007 | 312 Pages | PDF EPUB (True) | 51 MB
Through a series of carefully crafted chapters, the theoretical foundations of flexible nonparametric estimators are examined, complemented by comprehensive numerical studies. From theorem elucidation to practical applications, the text provides a deep dive into the intricacies of nonparametric curve estimation.

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September 9, 2024

Algebraic Identification and Estimation Methods in Feedback Control Systems

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Free Download Algebraic Identification and Estimation Methods in Feedback Control Systems by Hebertt Sira-Ramírez, Carlos García-Rodríguez, John Cortés-Romero, Alberto Luviano-Juárez
English | PDF (True) | 2014 | 379 Pages | ISBN : 1118730607 | 6.7 MB
lgebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems. This approach evades the mathematical intricacies of the traditional stochastic approach, proposing a direct model-based scheme with several easy-to-implement computational advantages. The approach can be used with continuous and discrete, linear and nonlinear, mono-variable and multi-variable systems. The estimators based on this approach are not of asymptotic nature, and do not require any statistical knowledge of the corrupting noises to achieve good performance in a noisy environment. These estimators are fast, robust to structured perturbations, and easy to combine with classical or sophisticated control laws.

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April 25, 2024

Introduction to Random Signals, Estimation Theory, and Kalman Filtering

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Free Download Introduction to Random Signals, Estimation Theory, and Kalman Filtering
English | 2024 | ISBN: 9819980623 | 501 Pages | PDF EPUB (True) | 46 MB
This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.

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January 20, 2024

Measuring Abundance Methods for the Estimation of Population Size and Species Richness

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Free Download Graham Upton, "Measuring Abundance: Methods for the Estimation of Population Size and Species Richness "
English | ISBN: 1784272329 | 2020 | 229 pages | PDF | 8 MB
Measuring the abundance of individuals and the diversity of species are core components of most ecological research projects and conservation monitoring. This book brings together in one place the methods used to estimate the abundance of individuals in nature. Code and examples for use with the R programming language are included.

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