لیست کتابهای لاتین ریاضیات(Statistics)آمار
Collaborative Statistics
by Barbara Illowsky, Susan Dean - Illowsky Publising , 2008
Intended
for introductory statistics courses for students at two and four–year
colleges who are majoring in fields other than math or engineering.
Intermediate algebra is the only prerequisite. The book focuses on
applications rather than the theory.
Concepts and Applications of Inferential Statistics
by Richard Lowry , 2008
Free
full-length textbook written by a professor of psychology at Vassar
College in Poughkeepsie, it offers teachers and students of statistics
lots of information. The book covers probability, distribution and
correlation, and regression.
Elementary Practical Statistics
by A. L. O'Toole - The MacMillan Company , 1964
This
text is a general course in elementary statistics. Its purpose is to
give readers some familiarity with an increasingly important method for
improving human knowledge of the world in which we live and of our
relationships in and to that world.
Elementary Statistics for Teachers
by Herschel Thurman Manuel - American Book Co , 1962
An
introduction to the statistics of educational and psychological
measurement for students who are just beginning the study of statistics
or who feel the need of only basic concepts and skills. It assumes no
advanced knowledge of mathematics.
Engineering Statistics Handbook
- NIST/SEMATECH , 2003
The
goal of this handbook is to help scientists and engineers incorporate
statistical methods in their work as efficiently as possible. Many parts
of the book feature case studies or examples with computations from the
free downloadable software.
First Course in Statistics
by D Caradog Jones - G Bell , 1921
First
part of the book is within the understanding of the ordinary person.
Part 2 is more mathematical, but the results are explained in such a way
that the reader shall gain a general idea of the theory and
applications without mastering the proofs.
Handbook of Computational Statistics
by J.E. Gentle, W. Härdle, Y. Mori - Springer , 2004
The
book gives a unified framework to the area of computational statistics,
with the separate chapters providing discussions on important areas of
the field. It is useful for all statisticians interested in applying
computational statistics methods.
Introduction to Statistical Thought
by Michael Lavine , 2008
Upper
undergraduate or graduate book in statistical thinking for students
with a background in calculus and the ability to think abstractly. The
focus is on ideas and concepts, as opposed to technical details of how
to put those ideas into practice.
Introduction to the Theory of Statistics
by A. M. Mood, F. A. Graybill, D. C. Boes - McGraw-Hill , 1974
A
self contained introduction to classical statistical theory. The
material is suitable for students who have successfully completed a
single year's course in calculus with no prior knowledge of statistics
or probability. Third revised edition.
Introductory Statistics
by T. H. Wonnacott, R. J. Wonnacott - Wiley , 1969
The
popular introduction to statistics for students of economics or
business. Presents an approach that is generally available only in much
more advanced texts, yet uses the simplest mathematics consistent with a
sound presentation.
Introductory Statistics: Concepts, Models, and Applications
by David W. Stockburger - Missouri State University , 1996
This
e-book is a complete interactive study guide with quizzing
functionality that reports to the instructor. The on-line text also has
animated figures and graphs that bring the print graphic to life for
deeper understanding.
Lectures on Statistics
by Robert B. Ash - University of Illinois , 2007
These
notes are based on a course that the author gave at UIUC. No prior
knowledge of statistics is assumed. A standard first course in
probability is a prerequisite, but the first 8 lectures review results
that are important in statistics.
Multivariate Statistics: Concepts, Models, and Applications
by David W. Stockburger - Missouri State University , 2001
The
book for a course in multivariate statistics for first year graduate or
advanced undergraduates. It is neither a mathematical treatise nor a
cookbook. Instead of complicated mathematical proofs the author wrote
about mathematical ideas.
SPSS: Stats Practically Short and Simple
by Sidney Tyrrell - BookBoon , 2009
This
textbook is for people who want to know how to use SPSS for analyzing
data. The author has considerable experience of teaching many such
people and assumes they know the basics of statistics but nothing about
SPSS, or as it is now known, PASW.
Statistical Theory
by Rachel Fewster - University of Auckland , 2009
This
is a course in mathematical statistics. The text covers probability,
discrete probability distributions, modeling with discrete probability
distributions, continuous random variables, the normal distribution and
the central limit theorem.
Statistical Tools for Economists
by Daniel McFadden - University of California, Berkeley , 2001
The
contents: Economic Analysis and Econometrics; Analysis and Linear
Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems
in Statistics; Experiments, Sampling, and Statistical Decisions;
Estimation; Hypothesis Testing.
Statistics
by David Brink - BookBoon , 2008
This
compendium of probability and statistics offers an instruction in the
central areas of these subjects. The focus is overview. The book is
intensively examplefied, which give the reader a recipe how to solve all
the common types of exercises.
Statistics Exercises
by David Brink - BookBoon , 2008
After
reading the theory book about Statistics it is time to test your
knowledge to make sure that you are well prepared for your exam. This
free exercise book follows the same structure as the theory book about
Statistics.
Statistics for Business and Economics
by Marcelo Fernandes - BookBoon , 2009
In
today's economic environment it is practically impossible to avoid
dealing with data gathering and analysis. This free textbook provides a
comprehensive overview of the main topics in the area of statistic
analysis for business and economics.
Statistics for the Social and Behavioral Sciences
by David A. Kenny - Little, Brown , 1987
This
textbook provides a first course in data analysis for students majoring
in the social and behavioral sciences. The book is intended to be
comprehensible to students who are not planning to go on to postgraduate
study.
Statistics: Methods and Applications
by Thomas Hill, Paul Lewicki - StatSoft, Inc. , 2005
A
comprehensive statistics textbook for both beginners and advanced
analysts. It presents analytic approaches and statistical methods used
in science, business, industry, and data mining, written for the
real-life practitioner of these methods.
Using R for Introductory Statistics
by John Verzani - Chapman & Hall/CRC , 2004
A
self-contained treatment of statistical topics and the intricacies of
the R software. The book focuses on exploratory data analysis, includes
chapters on simulation and linear models. It lays the foundation for
further study and development using R.
منبع : وبلاگ تخصصی مهندسی عمرانلیست کتابهای لاتین ریاضیات(Probability & Statistics)آمار و احتمال
A defense of Columbo: A multilevel introduction to probabilistic reasoning
by G. D'Agostini - arXiv , 2010
Triggered
by a recent interesting article on the too frequent incorrect use of
probabilistic evidence in courts, the author introduces the basic
concepts of probabilistic inference with a toy model, and discusses
several important issues.
An Introduction to Statistical Signal Processing
by R. M. Gray, L. D. Davisson - Cambridge University Press , 2005
The
book covers basic probability, random objects, expectation, second
order moment theory with examples of the random process models and their
basic properties, specific applications for communication, estimation,
detection, modulation.
An Introduction to Stochastic PDEs
by Martin Hairer - arXiv , 2009
This
text is an attempt to give a reasonably self-contained presentation of
the basic theory of stochastic partial differential equations, taking
for granted basic measure theory, functional analysis and probability
theory, but nothing else.
Applied Nonparametric Regression
by Wolfgang Härdle - Cambridge University Press , 1992
Nonparametric
regression analysis has become central to economic theory. Hardle, by
writing the first comprehensive and accessible book on the subject,
contributed enormously to making nonparametric regression equally
central to econometric practice.
Bayesian Spectrum Analysis and Parameter Estimation
by G. Larry Bretthorst - Springer , 1988
This
work is a research document on the application of probability theory to
the parameter estimation problem. The people who will be interested in
this material are physicists, economists, and engineers who have to deal
with data on a daily basis.
Convergence of Stochastic Processes
by D. Pollard - Springer , 1984
Selected
parts of empirical process theory, with applications to mathematical
statistics. The book describes the combinatorial ideas needed to prove
maximal inequalities for empirical processes indexed by classes of sets
or classes of functions.
Correlation and Causality
by David A. Kenny - John Wiley & Sons Inc , 1979
This
text is a general introduction to the topic of structural analysis. It
presumes no previous acquaintance with causal analysis. It is general
because it covers all the standard, as well as a few nonstandard,
statistical procedures.
Design of Comparative Experiments
by R. A. Bailey - Cambridge University Press , 2008
This
book develops a coherent framework for thinking about factors that
affect experiments and their relationships, including the use of Hasse
diagrams. The book is ideal for advanced undergraduate and beginning
graduate courses.
generatingfunctionology
by Herbert S. Wilf - A K Peters, Ltd. , 2006
The
book about main ideas on generating functions and some of their uses in
discrete mathematics. Generating functions are a bridge between
discrete mathematics and continuous analysis. The book is suitable for
undergraduates.
Introduction to Randomness and Statistics
by Alexander K. Hartmann - arXiv , 2009
This
is a practical introduction to randomness and data analysis, in
particular in the context of computer simulations. At the beginning, the
most basics concepts of probability are given, in particular discrete
and continuous random variables.
Inverse Problem Theory and Methods for Model Parameter Estimation
by Albert Tarantola - SIAM , 2004
The
first part deals with discrete inverse problems with a finite number of
parameters, while the second part deals with general inverse problems.
The book for scientists and applied mathematicians facing the
interpretation of experimental data.
Lectures on Probability, Statistics and Econometrics
by Marco Taboga - statlect.com , 2010
This
e-book is organized as a website that provides access to a series of
lectures on fundamentals of probability, statistics and econometrics, as
well as to a number of exercises on the same topics. The level is
intermediate.
Lectures on Stochastic Analysis
by Thomas G. Kurtz - University of Wisconsin , 2007
Covered
topics: stochastic integrals with respect to general semimartingales,
stochastic differential equations based on these integrals, integration
with respect to Poisson measures, stochastic differential equations for
general Markov processes.
Markov Chains and Mixing Times
by D. A. Levin, Y. Peres, E. L. Wilmer - American Mathematical Society , 2008
An
introduction to the modern approach to the theory of Markov chains. The
main goal of this approach is to determine the rate of convergence of a
Markov chain to the stationary distribution as a function of the size
and geometry of the state space.
Markov Chains and Stochastic Stability
by S.P. Meyn, R.L. Tweedie - Springer , 2005
The
book on the theory of general state space Markov chains, and its
application to time series analysis, operations research and systems and
control theory. An advanced graduate text and a monograph treating the
stability of Markov chains.
Non-Uniform Random Variate Generation
by Luc Devroye - Springer , 1986
The
book on small field on the crossroads of statistics, operations
research and computer science. The applications of random number
generators are wide and varied. The study of non-uniform random variates
is precisely the subject area of the book.
Principles of Data Analysis
by Cappella Archive - Prasenjit Saha , 2003
This
is a short book about the principles of data analysis. The emphasis is
on why things are done rather than on exactly how to do them. If you
already know something about the subject, then working through this book
will deepen your understanding.
Probability and Statistics in Engineering
by Daniele Veneziano - MIT OpenCourseWare , 2005
This
class covers quantitative analysis of uncertainty and risk for
engineering applications. Fundamentals of probability, random processes,
statistics, and decision analysis are covered, along with random
variables and vectors.
Random Matrix Models and Their Applications
by Pavel Bleher, Alexander Its - Cambridge University Press , 2001
The
book covers broad areas such as topologic and combinatorial aspects of
random matrix theory; scaling limits, universalities and phase
transitions in matrix models; universalities for random polynomials; and
applications to integrable systems.
Reversibility and Stochastic Networks
by F.P. Kelly - John Wiley and Sons Ltd , 1979
The
book on vector stochastic processes in equilibrium or stochastic
networks, with wide range of applications. It covers the concept of
reversibility, the output from a queue, and the epolymerization process
quilibrium distribution.
Reversible Markov Chains and Random Walks on Graphs
by Aldous, Fill - University of California, Berkeley , 2002
From
the table of contents: General Markov Chains; Reversible Markov Chains;
Hitting and Convergence Time, and Flow Rate, Parameters for Reversible
Markov Chains; Special Graphs and Trees; Cover Times; Symmetric Graphs
and Chains; etc.
Statistics, Probability, and Game Theory: papers in honor of David Blackwell
by David Blackwell, at al. - IMS , 1996
The
bulk of the articles in this volume are research articles in
probability, statistics, gambling, game theory, Markov decision
processes, set theory and logic, comparison of experiments, games of
timing, merging of opinions, etc.
Stochastic Analysis - Notes
by I. F. Wilde , 2009
A
gentle introduction to the mathematics of Stochastic Analysis. From the
table of contents: Introduction; Conditional expectation; Martingales;
Stochastic integration - informally; Wiener process; Ito's formula;
Bibliography.
Stochastic Calculus
by Alan Bain , 2008
An
informal introduction to Stochastic Calculus, and especially to the Ito
integral and some of its applications. The text concentrates on the
parts of the course which the author found hard, there is little or no
comment on more standard matters.
Stochastic Integration and Stochastic Differential Equations
by Klaus Bichteler - University of Texas , 2002
Written
for graduate students of mathematics, physics, electrical engineering,
and finance. The students are expected to know the basics of point set
topology up to Tychonoff's theorem, general integration theory, and some
functional analysis.
در صورت نیاز به دانلود از سایت كتابهاي تخصصي Gigapedia استفاده نمایید...
