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RSS订阅State of Charge and Parameter Estimation of Electric Vehicle Batteries
In today’s society, high importance is being placed on the stress levels that
technology puts on the environment. This factor has pushed automobile technology to
an eco-friendlier solution which is electric vehicles (EV) [1]. When compared to
petroleum-based vehicles using the internal combustion engine (ICE), EVs have a
significantly less footprint depending on their fuel source [2]
2018-09-28
An Introduction to Bayesian Analysis
In fact, the book can be used also as a second course in Bayesian
analysis if the instructor supplies more details.
2018-09-28
STATA BAYESIAN ANALYSIS REFERENCE MANUAL
Bayesian analysis is a statistical analysis that answers research questions about unknown parameters of statistical models by using probability statements. Bayesian analysis rests on the assumption that all model parameters are random quantities and thus can incorporate prior knowledge.
2018-09-28
Bayesian statistics
It’s an interesting paradox when an important subject,
which can help us make sense of our busy, everyday
world, is considered very difficult to approach. Such
is the case with measurement and statistics. However,
this does not necessarily have to be the case, and we
believe that the Encyclopedia of Measurement and
Statistics will show you why.
2018-09-28
Queueing Networks and Markov Chains
In this second edition, we have thoroughly revised all the chapters. Many examples and problems are updated, and many new examples and problems have been added.
2018-09-27
(Hidden) Markov Processes
Hidden Markov processes (HMPs) were introduced into the statistics literature as far back as 1966 . Starting in the mid 1970’s , HMPs have been used in speech recognition, which is perhaps the earliest application of HMPs in a non-mathematical context.
2018-09-27
Applied Probability and Stochastic Processes
This book is a result of teaching stochastic processes to junior and senior undergraduates and beginning graduate students over many years. In teaching such a course, we have realized a need to furnish students with material that gives a mathematical presentation while at the same time providing proper foundations to allow students
to build an intuitive feel for probabilistic reasoning. We have tried to maintain a balance in presenting advanced but understandable material that sparks an interest and challenges students, without the discouragement that often comes as a consequence of not understanding the material. Our intent in this text is to develop stochastic processes in an elementary but mathematically precise style and to provide sufficient examples and homework exercises that will permit students to understand the range of application areas for stochastic processes.
2018-09-27
马尔科夫链的平稳分布
马尔可夫链，因安德烈·马尔可夫（A.A.Markov，1856－1922）得名，是数学中具有马尔可夫性质的离散时间随机过程。该过程中，在给定当前知识或信息的情况下，过去（即当期以前的历史状态）对于预测将来（即当期以后的未来状态）是无关的。
2018-09-27
Statistics and Computing
This book is not a manual for R. The idea is to introduce a number of basic concepts and techniques that should allow the reader to get started with practical statistics.
2018-09-27
anoka-hennepin probability and statistics
Anoka-Hennepin Schools is thrilled to release the third publication of its very own Probability and Statistics textbook. Anoka-Hennepin Probability and Statistics (Third Edition) represents the work of a large team of dedicated writers and editors who have produced a truly unique and flexible ‘‘ebook.” Available in multiple electronic formats, the content demonstrates 21st century math learning at is finest. Students can access the book from a CD-ROM, DVD, flash drive, or mobile device like the Kindle or ipod. Access is also available through the web anywhere and anytime in multiple formats.
2018-09-27
Probability and Random Processes
This book is intended to be used as a text for either undergraduate level (junior/senior) courses in probability or introductory graduate level courses in random processes that are commonly found in Electrical Engineering curricula. While the subject matter is primarily mathematical, it is presented for engineers. Mathematics is much like a well-crafted hammer. We can hang the tool on our wall
and step back and admire the fine craftmanship used to construct the hammer, or we can pick it up and use it to pound a nail into the wall. Likewise, mathematics can be viewed as an art form or a tool.
2018-09-27
Random Processes in Systems
I wrote these notes as I was teaching the course in Fall 2005 to a class of bright and inquisitive
students at Berkeley. I had the great luck of having Antonis Dimakis as a teaching assistant for
the class. Antonis has an unusually deep understanding of probability and a knack for creating
examples that illustrate the main points particularly crisply. The students and Antonis have
my gratitude for their inputs. In particular, I want to single out Ming-Yang Chen for his
meticulous reading and correcting of the notes.
As we use these notes in subsequent versions of the course, I hope the students will be
kind enough to point out errors and needed clarications of the material. In fact, I know they
will....
2018-09-27
生物数学复杂动力系统
In this text we introduce several of the problems of science that embody the concept of complex dynamical systems. Each is an active area of research that is at the forefront of science.Our presentation does not try to provide a comprehensive review
of the research literature available in each area.Instead we use each problem as an opportunity for discussing fundamental issues that are shared among all areas and therefore can be said to unify the study of complex systems
2018-09-26
Introduction to MONTE CARLO Simulation
Simulation is a modeling technique in which the causeand-
effect relationships of a system are captured in a
computer model, which then becomes capable of
generating the same behavior that would occur in the
actual system.
Simulation is a powerful analysis tool that helps make
intelligent and timely decisions in the design and
operation of a system.
2018-09-26
advanced Monte carlo computer programs for Radition Transport
该文档主要是讲述蒙特卡洛算法在工程方面的具体应用，如何编程实现
2018-09-26
A Guide to Monte Carlo Simulations in Statistical Physics Third Edition
Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics
2018-09-26
Sequential Monte Carlo Methods for Bayesian Computation
该文档主要是讲述蒙特卡洛在贝叶斯方面的应用，对于学习深度学习以及机器学习的人来说是个很好的资源
2018-09-26
无刷直流电机矢量控制技术.txt
目录：第一章：电机技术成了战略技术；第二章：有刷直流电机的工作原理和特征、驱动电机；第三章：无刷直流电机的特征和工作原理；第四章：无刷直流电机驱动方式的进化；第五章：无刷直流电机矢量控制理论；。。。。。。此书唯一的缺陷是扫描版，不能编辑，大家酌情下载
2020-04-17
MCMC and Applied Bayesian Statistics.pdf
Markov chain Monte Carlo is a stochastic simulation
technique that is very useful for computing inferential
quantities. It is often used in a Bayesian context, but
not restricted to a Bayesian setting.
2019-06-29
Chapter 4 Markov Chain Monte Carlo .pdf
While the author has used their best efforts in preparing this book, they make no representations
or warranties with the respect to the accuracy or completeness of the contents of this book and
specifically disclaim any implied warranties of merchantability or fitness for a particular purpose.
It is sold on the understanding that the author is not engaged in rendering professional services
and the author shall not be liable for damages arising herefrom. If professional advice or other
expert assistance is required, the services of a competent professional should be sought.
2019-06-20
Markov Chains and Monte–Carlo Simulation.pdf
Markov chains
– are a fundamental class of stochastic models for sequences of non–independent random variables, i.e.
of random variables possessing a specific dependency structure.
– have numerous applications e.g. in insurance and finance.
– play also an important role in mathematical modelling and analysis in a variety of other fields such as
physics, chemistry, life sciences, and material sciences.
2019-06-20
Markov Chain Monte Carlo_ innovations and applications .pdf
The Institute for Mathematical Sciences at the National University of Singapore was established on 1 July 2000 with funding from the Ministry of
Education and the University. Its mission is to provide an international
center of excellence in mathematical research and, in particular, to promote within Singapore and the region active research in the mathematical
sciences and their applications. It seeks to serve as a focal point for scientists of diverse backgrounds to interact and collaborate in research through
tutorials, workshops, seminars and informal discussions.
2019-06-20
Markov Chains_ Analytic and Monte Carlo Computations .pdf
This book is written with a broad spectrum, that allows for different readings at
various levels. It tries nevertheless to plunge quickly into the heart of the matter.
The basic analytical tool is the maximum principle, which is natural in this setting.
It is superfcially compared to martingale methods in some instances. The basic
probabilistic tool is the Markov property, strong or not.
2019-06-20
Stochastic Population Models.pdf
All rights reserved. This work may not be translated or copied in whole or in part without the
written permission of the publisher (Springer-Verlag New York, Inc.• 175 Fifth Avenue. New York.
NY 10010, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in
connection with any form of information storage and retrieval, electronic adaptation, computer
software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.
The use of general descriptive names, trade names, trademarks, etc., in this publication, even if the
former are not epecially identified. is not to be taken as a sign that such names, as understood by
the Trade Marks and Merchandise Marks Act, may be accordingly used freely by anyone.
2019-06-20
Stochastic modelling for systems biology-CRC
This series aims to capture new developments and summarize what is known
over the entire spectrum of mathematical and computational biology and
medicine. It seeks to encourage the integration of mathematical, statistical,
and computational methods into biology by publishing a broad range of
textbooks, reference works, and handbooks. The titles included in the
series are meant to appeal to students, researchers, and professionals in the
mathematical, statistical and computational sciences, fundamental biology
and bioengineering, as well as interdisciplinary researchers involved in the
feld. The inclusion of concrete examples and applications, and programming
techniques and examples, is highly encouraged.
2019-06-20
A Markov Chain Monte Carlo Method for Inverse Stochastic Simulation
A classical two-stage method to stochastic inverse problems in groundwater
and petroleum engineering starts from the generation of a series of independent
seed flelds and then calibrates those flelds to inverse-condition on nonlinearly
dependent state data from difierent sources, which is known as model calibration or history matching. However, an inherent deflciency exists in this type of
method: the spatial structure and statistics are not preserved during the procedure of model calibration and history matching. While the spatial structure
and statistics of models may be one of the most important error sources to
the prediction of the future performance of reservoirs and aquifers, it should
be consistent with the given information just as conditioning to linear data
and inverse-conditioning to nonlinear data. In other words, the realizations
generated should preserve the given spatial structure and statistics during the
procedure of conditioning and inverse-conditioning. Aiming at this problem, a
stochastic approach is presented in this study to generate independent, identically distributed (i.i.d) realizations which are not only conditional on static
linear data and inverse-conditional on dynamic nonlinear data but also have
the specifled spatial structure and statistics.
2019-06-20
Handbook of approximate Bayesian computation.pdf
The objective of the series is to provide high-quality volumes covering the state-of-the-art in the theory
and applications of statistical methodology. The books in the series are thoroughly edited and present
comprehensive, coherent, and unified summaries of specific methodological topics from statistics.
The chapters are written by the leading researchers in the field, and present a good balance of theory
and application through a synthesis of the key methodological developments and examples and case
studies using real data.
2019-06-20
Bayesian Inference in Statistical Analysis .zip
The object of this book is to explore the use and relevance of Bayes' theorem to
problems such. as arise in scientific investigation in which inferences must be made
concerning parameter values about which little is known a priori.
2019-05-20
Delay equations : functional-, complex-, and nonlinear analysis
The aim of this book is to provide an introduction to the mathematical
theory of infinite dimensional dynamical systems by focussing on a relatively
simple, yet rich, class of examples, viz. those described by delay differential
equations.
2018-10-07
Introduction to Logistic Regression Models
Logistic regression is a useful tool for analyzing data that includes categorical
response variables, such as tree survival, presence or absence of a species
in quadrats, and presence of disease or damage to seedlings
2018-10-02
Multiple Linear and 1D Regression
Regression is the study of the conditional distribution Y |x of the response
Y given the p × 1 vector of nontrivial predictors x. In a 1D regression
model, Y is conditionally independent of x given a single linear combination
α + βTx of the predictors, written
Y x|(α + βTx) or Y x|βTx.
Many of the most used statistical methods are 1D models, including generalized
linear models such as multiple linear regression, logistic regression,
and Poisson regression
2018-10-02
Linear Regression Analysis Theory and Computing
In statistics, regression analysis consists of techniques for modeling the relationship between a dependent variable (also called response variable) and one or more independent variables (also known as explanatory variables or predictors).
2018-10-02
Analysis of Variance, Design, and Regression: Applied Statistical Methods
This book examines the application of basic statistical methods: primarily analysis of variance and
regression but with some discussion of count data. It is directed primarily towards Masters degree
students in statistics studying analysis of variance, design of experiments, and regression analysis.
2018-10-02
Applied Nonparametric Regression
The theory and methods of smoothing have been developed mainly in the last ten years.
The intensive interest in smoothing over this last decade had two reasons: statisticians
realized that pure parametric thinking in curve estimations often does not meet the need for
flexibility in data analysis and the development of hardware created the demand for theory
of now computable nonparametric estimates.
2018-10-02
REGRESSION MODELS FOR CATEGORICAL DEPENDENT VARIABLES USING STATA
Our book is about using Stata for estimating and interpreting regression models with categorical
outcomes. The book is divided into two parts. Part I contains general information that applies to all
of the regression models that are considered in detail in Part II.
2018-10-02
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