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Probability and Statistics

Probability and Statistics
  • Author : José I. Barragués,Adolfo Morais,Jenaro Guisasola
  • Publisher :Unknown
  • Release Date :2014-02-06
  • Total pages :490
  • ISBN : 9781482219777
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Summary : With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The book is suitable for use for entry level courses in first year university studies of Science and Engineering, higher level courses, postgraduate university studies and for the research community.

Probability and Statistics with Integrated Software Routines

Probability and Statistics with Integrated Software Routines
  • Author : Ronald Deep
  • Publisher :Unknown
  • Release Date :2006
  • Total pages :686
  • ISBN : 9780123694638
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Summary : Probability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique. The book comes with a CD containing the interactive software leading to the Statistical Genie. The student can issue commands repeatedly while making parameter changes to observe the effects. Computer programming is an excellent skill for problem solvers, involving design, prototyping, data gathering, testing, redesign, validating, etc, all wrapped up in the scientific method. See also: CD to accompany Probability and Stats with Integrated Software Routines (0123694698) * Incorporates more than 1,000 engaging problems with answers * Includes more than 300 solved examples * Uses varied problem solving methods

How to Work with Probability and Statistics, Grades 6-8

How to Work with Probability and Statistics, Grades 6-8
  • Author : Tcr,Smith
  • Publisher :Unknown
  • Release Date :2002-01-01
  • Total pages :48
  • ISBN : 9781576909683
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Summary : A collection of lessons in probability and statistics for the teachers of students in grades six offers units and practice pages incorporating the math skills established by the National Council of Teachers of Mathematics.

Probability and Statistics

Probability and Statistics
  • Author : Michael J. Evans,Jeffrey S. Rosenthal
  • Publisher :Unknown
  • Release Date :2010-03-01
  • Total pages :200
  • ISBN : 1429224630
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Summary : Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

An Introduction to Probability and Statistics Using Basic

An Introduction to Probability and Statistics Using Basic
  • Author : Richard A. Groeneveld
  • Publisher :Unknown
  • Release Date :2020-09-24
  • Total pages :464
  • ISBN : 9781000146271
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Summary : This volume introduces the theoretical ideas in probability and statistics by means of examples. The strengths of the BASIC computer language are exploited to illustrate probabilistic and statistical ideas. Topics described by the Committee on the Under-graduate Program in Mathematics are included.

Probability and Statistics

Probability and Statistics
  • Author : Arak M. Mathai,Hans J. Haubold
  • Publisher :Unknown
  • Release Date :2017-12-18
  • Total pages :604
  • ISBN : 9783110562606
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Summary : This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected values Commonly used discrete distributions Commonly used density functions Joint distributions Some multivariate distributions Collection of random variables Sampling distributions Estimation Interval estimation Tests of statistical hypotheses Model building and regression Design of experiments and analysis of variance Questions and answers

Contributions to Probability and Statistics

Contributions to Probability and Statistics
  • Author : Leon J. Gleser,Michael D. Perlman,S. James Press,Allan R. Sampson
  • Publisher :Unknown
  • Release Date :2012-12-06
  • Total pages :505
  • ISBN : 9781461236788
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Summary : Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford University. Part I contains a brief biography of Professor Olkin and an interview with him discussing his career and his research interests. Part II contains 32 technical papers written in Professor Olkin's honor by his collaborators, colleagues, and Ph.D. students. These original papers cover a wealth of topics in mathematical and applied statistics, including probability inequalities and characterizations, multivariate analysis and association, linear and nonlinear models, ranking and selection, experimental design, and approaches to statistical inference. The volume reflects the wide range of Professor Olkin's interests in and contributions to research in statistics, and provides an overview of new developments in these areas of research.

Probability for Statistics and Machine Learning

Probability for Statistics and Machine Learning
  • Author : Anirban DasGupta
  • Publisher :Unknown
  • Release Date :2011-05-17
  • Total pages :784
  • ISBN : 1441996346
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Summary : This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.

An Introduction to Probability and Statistics

An Introduction to Probability and Statistics
  • Author : Vijay K. Rohatgi,A.K. Md. Ehsanes Saleh
  • Publisher :Unknown
  • Release Date :2015-09-01
  • Total pages :728
  • ISBN : 9781118799659
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Summary : A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability and Statistics, Third Edition remains a solid overview to probability theory and mathematical statistics. Divided intothree parts, the Third Edition begins by presenting the fundamentals and foundationsof probability. The second part addresses statistical inference, and the remainingchapters focus on special topics. An Introduction to Probability and Statistics, Third Edition includes: A new section on regression analysis to include multiple regression, logistic regression, and Poisson regression A reorganized chapter on large sample theory to emphasize the growing role of asymptotic statistics Additional topical coverage on bootstrapping, estimation procedures, and resampling Discussions on invariance, ancillary statistics, conjugate prior distributions, and invariant confidence intervals Over 550 problems and answers to most problems, as well as 350 worked out examples and 200 remarks Numerous figures to further illustrate examples and proofs throughout An Introduction to Probability and Statistics, Third Edition is an ideal reference and resource for scientists and engineers in the fields of statistics, mathematics, physics, industrial management, and engineering. The book is also an excellent text for upper-undergraduate and graduate-level students majoring in probability and statistics.

Applied Probability and Statistics

Applied Probability and Statistics
  • Author : Mario Lefebvre
  • Publisher :Unknown
  • Release Date :2006-05-04
  • Total pages :358
  • ISBN : 9780387284545
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Summary : This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are historical notes on the mathematicians mentioned throughout, and a useful bibliography. A distinguishing character of the book is its thorough and succinct handling of the varied topics.

Probability and Statistics by Example: Volume 1, Basic Probability and Statistics

Probability and Statistics by Example: Volume 1, Basic Probability and Statistics
  • Author : Yuri Suhov,Michael Kelbert,Mark Kelbert
  • Publisher :Unknown
  • Release Date :2005-10-13
  • Total pages :372
  • ISBN : 0521847664
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Summary : This subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering. The authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises for which they have supplied complete solutions. These solutions are adapted to needs and skills of students. Experience shows that users of this book will find the subject more interesting and they will be better equipped to solve problems in practice and under examination conditions.

Counterexamples in Probability And Statistics

Counterexamples in Probability And Statistics
  • Author : Joseph P. Romano,A.F. Siegel
  • Publisher :Unknown
  • Release Date :1986-06-01
  • Total pages :328
  • ISBN : 0412989018
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Summary : This volume contains six early mathematical works, four papers on fiducial inference, five on transformations, and twenty-seven on a miscellany of topics in mathematical statistics. Several previously unpublished works are included.

Introduction to Probability and Statistics for Science, Engineering, and Finance

Introduction to Probability and Statistics for Science, Engineering, and Finance
  • Author : Walter A. Rosenkrantz
  • Publisher :Unknown
  • Release Date :2008-07-10
  • Total pages :680
  • ISBN : 9781584888130
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Summary : Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create

Introduction to Probability, Statistics, and Random Processes

Introduction to Probability, Statistics, and Random Processes
  • Author : Hossein Pishro-Nik
  • Publisher :Unknown
  • Release Date :2014-08-15
  • Total pages :746
  • ISBN : 0990637204
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Summary : The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion; simulation using MATLAB and R.

A Modern Introduction to Probability and Statistics

A Modern Introduction to Probability and Statistics
  • Author : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
  • Publisher :Unknown
  • Release Date :2006-03-30
  • Total pages :488
  • ISBN : 9781846281686
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Summary : Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Linear Algebra

Linear Algebra
  • Author : Arak M. Mathai,Hans J. Haubold
  • Publisher :Unknown
  • Release Date :2017-10-23
  • Total pages :467
  • ISBN : 9783110562507
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Summary : In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements such as theorems and proofs too much. It is also designed to be self-contained, so no other material is required for an understanding of the topics covered. As the basis for courses on space and atmospheric science, remote sensing, geographic information systems, meteorology, climate and satellite communications at UN-affiliated regional centers, various applications of the formal theory are discussed as well. These include differential equations, statistics, optimization and some engineering-motivated problems in physics. Contents Vectors Matrices Determinants Eigenvalues and eigenvectors Some applications of matrices and determinants Matrix series and additional properties of matrices

Probability and Statistics for Data Science

Probability and Statistics for Data Science
  • Author : Norman Matloff
  • Publisher :Unknown
  • Release Date :2019-06-21
  • Total pages :412
  • ISBN : 9780429687129
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Summary : Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.

Probability and Statistics

Probability and Statistics
  • Author : Morris H. DeGroot,Mark J. Schervish
  • Publisher :Unknown
  • Release Date :2012
  • Total pages :893
  • ISBN : 0321500466
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Summary : The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

Statistics and Probability in Forensic Anthropology

Statistics and Probability in Forensic Anthropology
  • Author : Zuzana Obertová,Alistair Stewart,Cristina Cattaneo
  • Publisher :Unknown
  • Release Date :2020-07-28
  • Total pages :418
  • ISBN : 9780128157657
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Summary : Statistics and Probability in Forensic Anthropology provides a practical guide for forensic scientists, primarily anthropologists and pathologists, on how to design studies, how to choose and apply statistical approaches, and how to interpret statistical outcomes in the forensic practice. As with other forensic, medical and biological disciplines, statistics have become increasingly important in forensic anthropology and legal medicine, but there is not a single book, which specifically addresses the needs of forensic anthropologists in relation to the research undertaken in the field and the interpretation of research outcomes and case findings within the setting of legal proceedings. The book includes the application of both frequentist and Bayesian statistics in relation to topics relevant for the research and the interpretation of findings in forensic anthropology, as well as general chapters on study design and statistical approaches addressing measurement errors and reliability. Scientific terminology understandable to students and advanced practitioners of forensic anthropology, pathology and related disciplines is used throughout. Additionally, Statistics and Probability in Forensic Anthropology facilitates sufficient understanding of the statistical procedures and data interpretation based on statistical outcomes and models, which helps the reader confidently present their work within the forensic context, either in the form of case reports for legal purposes or as research publications for the scientific community. Contains the application of both frequentist and Bayesian statistics in relation to topics relevant for forensic anthropology research and the interpretation of findings Provides examples of study designs and their statistical solutions, partly following the layout of scientific manuscripts on common topics in the field Includes scientific terminology understandable to students and advanced practitioners of forensic anthropology, legal medicine and related disciplines

Introduction to Probability

Introduction to Probability
  • Author : Joseph K. Blitzstein,Jessica Hwang
  • Publisher :Unknown
  • Release Date :2014-07-24
  • Total pages :596
  • ISBN : 9781498759762
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Summary : Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional

Probability and Statistics with Applications: A Problem Solving Text

Probability and Statistics with Applications: A Problem Solving Text
  • Author : Leonard Asimow, Ph.D., ASA,Mark Maxwell, Ph.D., ASA
  • Publisher :Unknown
  • Release Date :2015-06-30
  • Total pages :600
  • ISBN : 9781625424723
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Summary : This text is listed on the Course of Reading for SOA Exam P. Probability and Statistics with Applications is an introductory textbook designed to make the subject accessible to college freshmen and sophomores concurrent with Calc II and III, with a prerequisite of just one smester of calculus. It is organized specifically to meet the needs of students who are preparing for the Society of Actuaries qualifying Examination P and Casualty Actuarial Society's new Exam S. Sample actuarial exam problems are integrated throughout the text along with an abundance of illustrative examples and 870 exercises. The book provides the content to serve as the primary text for a standard two-semester advanced undergraduate course in mathematical probability and statistics. 2nd Edition Highlights Expansion of statistics portion to cover CAS ST and all of the statistics portion of CAS SAbundance of examples and sample exam problems for both Exams SOA P and CAS SCombines best attributes of a solid text and an actuarial exam study manual in one volumeWidely used by college freshmen and sophomores to pass SOA Exam P early in their college careersMay be used concurrently with calculus coursesNew or rewritten sections cover topics such as discrete and continuous mixture distributions, non-homogeneous Poisson processes, conjugate pairs in Bayesian estimation, statistical sufficiency, non-parametric statistics, and other topics also relevant to SOA Exam C.