CRC Standard Probability and Statistics Tables and Formulae, Student Edition

CRC Standard Probability and Statistics Tables and Formulae, Student Edition

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  • Author: Stephen Kokoska
  • Publisher: CRC Press
  • ISBN: 9780849300264
  • Category : Mathematics
  • Languages : en
  • Pages : 260

Users of statistics in their professional lives and statistics students will welcome this concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulas typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control. For each type of distribution the authors supply: ? definitions ? tables ? relationships with other distributions, including limiting forms ? statistical parameters, such as variance and generating functions ? a list of common problems involving the distribution Standard Probability and Statistics: Tables and Formulae also includes discussion of common statistical problems and supplies examples that show readers how to use the tables and formulae to get the solutions they need. With this handy reference, the focus can shift from rote learning and memorization to the concepts needed to use statistics efficiently and effectively.


CRC Standard Mathematical Tables and Formulae, 32nd Edition

CRC Standard Mathematical Tables and Formulae, 32nd Edition

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  • Author: Daniel Zwillinger
  • Publisher: CRC Press
  • ISBN: 1439835500
  • Category : Mathematics
  • Languages : en
  • Pages : 792

With over 6,000 entries, CRC Standard Mathematical Tables and Formulae, 32nd Edition continues to provide essential formulas, tables, figures, and descriptions, including many diagrams, group tables, and integrals not available online. This new edition incorporates important topics that are unfamiliar to some readers, such as visual proofs and sequences, and illustrates how mathematical information is interpreted. Material is presented in a multisectional format, with each section containing a valuable collection of fundamental tabular and expository reference material. New to the 32nd Edition A new chapter on Mathematical Formulae from the Sciences that contains the most important formulae from a variety of fields, including acoustics, astrophysics, epidemiology, finance, statistical mechanics, and thermodynamics New material on contingency tables, estimators, process capability, runs test, and sample sizes New material on cellular automata, knot theory, music, quaternions, and rational trigonometry Updated and more streamlined tables Retaining the successful format of previous editions, this comprehensive handbook remains an invaluable reference for professionals and students in mathematical and scientific fields.


CRC Standard Probability and Statistics Tables and Formulae, Student Edition

CRC Standard Probability and Statistics Tables and Formulae, Student Edition

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  • Author: Stephen Kokoska
  • Publisher: CRC Press
  • ISBN: 1482273845
  • Category : Mathematics
  • Languages : en
  • Pages : 226

Users of statistics in their professional lives along with statistics students will welcome the CRC Standard Probability and Statistics Tables and Formulae, a concise, easy-to-use reference for basic statistics and probability. It contains all of the standardized statistical tables and formulae typically needed plus material on basic statistics topics, such as probability theory and distributions, regression, analysis of variance, nonparametric statistics, and statistical quality control. With this handy reference, readers can shift their focus from rote learning and memorization to the concepts they need to use statistics efficiently and effectively.


Handbook of Differential Equations

Handbook of Differential Equations

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  • Author: Daniel Zwillinger
  • Publisher: Academic Press
  • ISBN: 1483220966
  • Category : Mathematics
  • Languages : en
  • Pages : 694

Handbook of Differential Equations is a handy reference to many popular techniques for solving and approximating differential equations, including exact analytical methods, approximate analytical methods, and numerical methods. Topics covered range from transformations and constant coefficient linear equations to finite and infinite intervals, along with conformal mappings and the perturbation method. Comprised of 180 chapters, this book begins with an introduction to transformations as well as general ideas about differential equations and how they are solved, together with the techniques needed to determine if a partial differential equation is well-posed or what the "natural" boundary conditions are. Subsequent sections focus on exact and approximate analytical solution techniques for differential equations, along with numerical methods for ordinary and partial differential equations. This monograph is intended for students taking courses in differential equations at either the undergraduate or graduate level, and should also be useful for practicing engineers or scientists who solve differential equations on an occasional basis.


Normal and Student ́s t Distributions and Their Applications

Normal and Student ́s t Distributions and Their Applications

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  • Author: Mohammad Ahsanullah
  • Publisher: Springer Science & Business Media
  • ISBN: 9462390614
  • Category : Mathematics
  • Languages : en
  • Pages : 163

The most important properties of normal and Student t-distributions are presented. A number of applications of these properties are demonstrated. New related results dealing with the distributions of the sum, product and ratio of the independent normal and Student distributions are presented. The materials will be useful to the advanced undergraduate and graduate students and practitioners in the various fields of science and engineering.


Introduction to Probability

Introduction to Probability

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  • Author: Joseph K. Blitzstein
  • Publisher: CRC Press
  • ISBN: 1466575573
  • Category : Mathematics
  • Languages : en
  • Pages : 599

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 application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.


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

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

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  • Author: Walter A. Rosenkrantz
  • Publisher: CRC Press
  • ISBN: 158488813X
  • Category : Mathematics
  • Languages : en
  • Pages : 680

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 and Statistics Using R

Introduction to Probability and Statistics Using R

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  • Author: G. Jay Kerns
  • Publisher: Lulu.com
  • ISBN: 0557249791
  • Category : Education
  • Languages : en
  • Pages : 388

This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.


Essential Statistics

Essential Statistics

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  • Author: D.G. Rees
  • Publisher: CRC Press
  • ISBN: 1482295687
  • Category : Mathematics
  • Languages : en
  • Pages : 384

An introductory text for students taking a first course in statistics-in fields as diverse as engineering, business, chemistry, and biology-Essential Statistics: Fourth Edition thoroughly updates and enhances the hugely successful third edition. It presents new information on modern statistical techniques such as Analysis of Variance (ANOVA), and software such as MINITABTM for WINDOWS. An experienced former lecturer, the author communicates to students in his trademark easy-to-follow style. Keeping complex mathematical theory to a minimum, Rees presents a wealth of fully explained worked examples throughout the text. In addition, the end-of-chapter Worksheets relate to a variety of fields-enabling students to see the relevance of the numerous methods to their study areas. Essential Statistics: Fourth Edition emphasizes the principles and assumptions underlying the statistical methods, thus providing the tools needed for students to use and interpret statistical data effectively.


Introduction to Probability

Introduction to Probability

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  • Author: David F. Anderson
  • Publisher: Cambridge University Press
  • ISBN: 110824498X
  • Category : Mathematics
  • Languages : en
  • Pages : 447

This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.