# krainaksiazek elementary statistical analysis 20107118

- znaleziono 24 produkty w 3 sklepach

### Introduction to Statistical Inference and Its Applications with R Taylor & Francis Inc

**Książki / Literatura obcojęzyczna**

Explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. This title introduces basic concepts of inference through a study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression.

Sklep: Libristo.pl

### Supermathematics and its Applications in Statistical Physics Springer, Berlin

**Książki / Literatura obcojęzyczna**

This text presents the mathematical concepts of Grassmann§variables and the method of supersymmetry to a broad audience of physicists§interested in applying these tools to disordered and critical systems, as well§as related topics in statistical physics. Based on many courses and seminars§held by the author, one of the pioneers in this field, the reader is given a§systematic and tutorial introduction to the subject matter.§§The algebra and analysis of Grassmann variables is§presented in part I. The mathematics of these variables is applied to a random§matrix model, path integrals for fermions, dimer models and the Ising model in§two dimensions. Supermathematics - the use of commuting and anticommuting§variables on an equal footing - is the subject of part II. The properties of§supervectors and supermatrices, which contain both commuting and Grassmann§components, are treated in great detail, including the derivation of integral§theorems. In part III, supersymmetric physical models are considered. While§supersymmetry was first introduced in elementary particle physics as exact§symmetry between bosons and fermions, the formal introduction of anticommuting§spacetime components, can be extended to problems of statistical physics, and,§since it connects states with equal energies, has also found its way into§quantum mechanics.§§Several models are considered in the applications, after§which the representation of the random matrix model by the nonlinear§sigma-model, the determination of the density of states and the level§correlation are derived. Eventually, the mobility edge behavior is discussed§and a short account of the ten symmetry classes of disorder, two-dimensional§disordered models, and superbosonization is given.§§

Sklep: Libristo.pl

### Statistical Methods for Dynamic Treatment Regimes Springer

**Książki / Literatura obcojęzyczna**

Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. This volume demonstrates these methods with their conceptual underpinnings and illustration through analysis of real and simulated data. These methods are immediately applicable to the practice of personalized medicine, which is a medical paradigm that emphasizes the systematic use of individual patient information to optimize patient health care. This is the first single source to provide an overview of methodology and results gathered from journals, proceedings, and technical reports with the goal of orienting researchers to the field. The first chapter establishes context for the statistical reader in the landscape of personalized medicine. Readers need only have familiarity with elementary calculus, linear algebra, and basic large-sample theory to use this text. Throughout the text, authors direct readers to available code or packages in different statistical languages to facilitate implementation. In cases where code does not already exist, the authors provide analytic approaches in sufficient detail that any researcher with knowledge of statistical programming could implement the methods from scratch. This will be an important volume for a wide range of researchers, including statisticians, epidemiologists, medical researchers, and machine learning researchers interested in medical applications. Advanced graduate students in statistics and biostatistics will also find material in Statistical Methods for Dynamic Treatment Regimes to be a critical part of their studies.

Sklep: Libristo.pl

### New Cambridge Statistical Tables Cambridge University Press

**Książki / Literatura obcojęzyczna**

The latest edition of this very successful and authoritative set of tables still benefits from clear typesetting, which makes the figures easy to read and use. It has, however, been improved by the addition of new tables that provide Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. Great care has been taken to ensure that it is clear just what is being tabulated and how the values may be used; the tables are generally capable of easy interpolation. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences. It will be an essential aid for teachers, researchers and students in those subjects where statistical analysis is not wholly carried out by computers.

Sklep: Libristo.pl

### Analysis of Biomarker Data John Wiley & Sons Inc

**Książki / Literatura obcojęzyczna**

A "how to" guide for applying statistical methods to biomarker data analysis§§Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker Data: A Practical Guide features preferred techniques for biomarker validation. The authors provide descriptions of select elementary statistical methods that are traditionally used to analyze biomarker data with a focus on the proper application of each method, including necessary assumptions, software recommendations, and proper interpretation of computer output. In addition, the book discusses frequently encountered challenges in analyzing biomarker data and how to deal with them, methods for the quality assessment of biomarkers, and biomarker study designs.§§Covering a broad range of statistical methods that have been used to analyze biomarker data in published research studies, Analysis of Biomarker Data: A Practical Guide also features:§A greater emphasis on the application of methods as opposed to the underlying statistical and mathematical theory§The use of SAS(r), R, and other software throughout to illustrate the presented calculations for each example§Numerous exercises based on real-world data as well as solutions to the problems to aid in reader comprehension§The principles of good research study design and the methods for assessing the quality of a newly proposed biomarker§A companion website that includes a software appendix with multiple types of software and complete data sets from the book's examples§Analysis of Biomarker Data: A Practical Guide is an ideal upper-undergraduate and graduate-level textbook for courses in the biological or environmental sciences. An excellent reference for statisticians who routinely analyze and interpret biomarker data, the book is also useful for researchers who wish to perform their own analyses of biomarker data, such as toxicologists, pharmacologists, epidemiologists, environmental and clinical laboratory scientists, and other professionals in the health and environmental sciences.

Sklep: Libristo.pl

### Introduction To Error Analysis PALGRAVE MACMILLAN

**Książki / Literatura obcojęzyczna**

The need for error analysis is captured in the book's arresting cover shot - of the 1895 Paris train disaster (also available as a wall poster). The early chapters teach elementary techniques of error propagation and statistical analysis to enable students to produce successful lab reports. Later chapters treat a number of more advanced mathematical topics, with many examples from mechanics and optics. End-of-chapter problems include many that call for use of calculators or computers, and numerous figures help readers visualize uncertainties using error bars. "Score a hit! ...the book reveals the exceptional skill of the author as lecturer and teacher...a valuable reference work for any student (or instructor) in the sciences and engineering." The Physics Teacher "This is a well written book with good illustrations, index and general bibliography...The book is well suited for engineering and science courses at universities and as a basic reference text for those engineers and scientists in practice." Strain, Journal of the British Society for Strain Measurement

Sklep: Libristo.pl

### Complex Analysis with Applications Dover Publications

**Książki / Literatura obcojęzyczna**

Richard A. Silverman: Dover's Trusted Advisor Richard Silverman was the primary reviewer of our mathematics books for well over 25 years starting in the 1970s. And, as one of the preeminent translators of scientific Russian, his work also appears in our catalog in the form of his translations of essential works by many of the greatest names in Russian mathematics and physics of the twentieth century. These titles include (but are by no means limited to): Special Functions and Their Applications (Lebedev); Methods of Quantum Field Theory in Statistical Physics (Abrikosov, et al); An Introduction to the Theory of Linear Spaces, Linear Algebra, and Elementary Real and Complex Analysis (all three by Shilov); and many more. During the Silverman years, the Dover math program attained and deepened its reach and depth to a level that would not have been possible without his valuable contributions.

Sklep: Libristo.pl

### Modern Applied Biostatistical Methods Using S-Plus Oxford University Press

**Zdrowie, medycyna**

Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary and intermediate analytic methods. The theoretical basis for each method is discussed with a minimum of mathematics and is applied to a research data example using a computer system called S-PLUS. This system produces concrete numerical results and increases one's understanding of the fundamental concepts and methodology of statistical analysis.;This text is not a computer manual, even though it makes extensive use of computer language to describe and illustrate applied statistical techniques. This makes the details of the statistical process readily accessible, providing insight into how and why a statistical method identifies the properties of sampled data. The first chapter gives a simple overview of the S-PLUS language. The subsequent chapters use this valuable statistical tool to present a variety of analytic approaches.;Combining statistical logic, data and computer tools, the author explores such topics as random number generation, general linear models, estimation, analysis of tabular data, analysis of variance and survival analysis. The end result is a clear and complete explanation of the way statistical methods can help one gain an understanding of collected data.;Modern Applied Biostatistical Methods is unlike other statistical texts, which usually deal either with theory or with applications. It integrates the two elements into a single presentation of theoretical background, data, interpretation, graphics, and implementation. This all-around approach will be particularly helpful to students in various biostatistics and advanced epidemiology courses, and will interest all researchers involved in biomedical data analysis.

Sklep: Albertus.pl

### Modern Applied Biostatistical Methods Using S-Plus Oxford University Press

**Medycyna > English Division**

Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary and intermediate analytic methods. The theoretical basis for each method is discussed with a minimum of mathematics and is applied to a research data example using a computer system called S-PLUS. This system produces concrete numerical results and increases one's understanding of the fundamental concepts and methodology of statistical analysis. This text is not a computer manual, even though it makes extensive use of computer language to describe and illustrate applied statistical techniques. This makes the details of the statistical process readily accessible, providing insight into how and why a statistical method identifies the properties of sampled data. The first chapter gives a simple overview of the S-PLUS language. The subsequent chapters use this valuable statistical tool to present a variety of analytic approaches. Combining statistical logic, data and computer tools, the author explores such topics as random number generation, general linear models, estimation, analysis of tabular data, analysis of variance and survival analysis. The end result is a clear and complete explanation of the way statistical methods can help one gain an understanding of collected data. Modern Applied Biostatistical Methods is unlike other statistical texts, which usually deal either with theory or with applications. It integrates the two elements into a single presentation of theoretical background, data, interpretation, graphics, and implementation. This all-around approach will be particularly helpful to students in various biostatistics and advanced epidemiology courses, and will interest all researchers involved in biomedical data analysis.

Sklep: Ksiazki-medyczne.eu

### Statistics John Wiley & Sons Inc

**Książki / Literatura obcojęzyczna**

"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)§§A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R§§This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.§§Includes numerous worked examples and exercises within each chapter.

Sklep: Libristo.pl

### Introductory Statistics with R BERTRAMS

**Książki / Literatura obcojęzyczna**

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development.§This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets.§The statistical methodology includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression.§In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix.§Peter Dalgaard is associate professor at the Department of Biostatistics at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He has been a member of the R Core Team since 1997.

Sklep: Libristo.pl

### Compendium of Theoretical Physics Springer, Berlin

**Książki / Literatura obcojęzyczna**

Mechanics, Electrodynamics, Quantum Mechanics, and Statistical Mechanics and Thermodynamics comprise the canonical undergraduate curriculum of theoretical physics. In Compendium of Theoretical Physics, Armin Wachter and Henning Hoeber offer a concise, rigorous and structured overview that will be invaluable for students preparing for their qualifying examinations, readers needing a supplement to standard textbooks, and research or industrial physicists seeking a bridge between extensive textbooks and formula books.§§The authors take an axiomatic-deductive approach to each topic, starting the discussion of each theory with its fundamental equations. By subsequently deriving the various physical relationships and laws in logical rather than chronological order, and by using a consistent presentation and notation throughout, they emphasize the connections between the individual theories. The reader s understanding is then reinforced with exercises, solutions and topic summaries.§§Unique Features:§§§Every topic is reviewed axiomatically-deductively and then reinforced through exercises, solutions and summaries§§§Each subchapter ends with a set of applications, making the Compendium an ideal review of theoretical physics for physicists working in industry or research§§§A Mathematical Appendix covers vector operations, integral theorems, partial differential quotients, complete function systems, Fourier analysis, Bessel functions, spherical Bessel functions, Legendre functions, Legendre polynomials and spherical harmonics§§§Armin Wachter holds a Ph.D. in Physics from the John von Neumann Institute for Computing (NIC) / Research Centre of Jülich, Germany. His research interests include theoretical elementary particle physics, heavy quark physics, heavy meson spectroscopy, algorithms on parallel computers, and lattice gauge theory. He is presently writing a textbook on relativistic quantum mechanics for Springer.§§Henning Hoeber received his Ph.D. in Physics from the University of Edinburgh, Scotland and has since held research positions at the John von Neumann Institute for Computing (NIC) / Research Centre of Jülich, Germany and the University of Wuppertal, Germany. His research interests include elementary particle physics, lattice gauge theory, and computational physics, and since 1998 he has done extensive work in the fields of seismic processing, time series analysis, statistical and transform methods for seismic signal processing, and elastic wave propagation.

Sklep: Libristo.pl

### First Course in Turbulence The MIT Press

**Książki / Literatura obcojęzyczna**

The subject of turbulence, the most forbidding in fluid dynamics, has usually proved treacherous to the beginner, caught in the whirls and eddies of its nonlinearities and statistical imponderables. This is the first book specifically designed to offer the student a smooth transitionary course between elementary fluid dynamics (which gives only last-minute attention to turbulence) and the professional literature on turbulent flow, where an advanced viewpoint is assumed.Moreover, the text has been developed for students, engineers, and scientists with different technical backgrounds and interests. Almost all flows, natural and man-made, are turbulent. Thus the subject is the concern of geophysical and environmental scientists (in dealing with atmospheric jet streams, ocean currents, and the flow of rivers, for example), of astrophysicists (in studying the photospheres of the sun and stars or mapping gaseous nebulae), and of engineers (in calculating pipe flows, jets, or wakes). Many such examples are discussed in the book.The approach taken avoids the difficulties of advanced mathematical development on the one side and the morass of experimental detail and empirical data on the other. As a result of following its midstream course, the text gives the student a physical understanding of the subject and deepens his intuitive insight into those problems that cannot now be rigorously solved.In particular, dimensional analysis is used extensively in dealing with those problems whose exact solution is mathematically elusive. Dimensional reasoning, scale arguments, and similarity rules are introduced at the beginning and are applied throughout.A discussion of Reynolds stress and the kinetic theory of gases provides the contrast needed to put mixing-length theory into proper perspective: the authors present a thorough comparison between the mixing-length models and dimensional analysis of shear flows. This is followed by an extensive treatment of vorticity dynamics, including vortex stretching and vorticity budgets.Two chapters are devoted to boundary-free shear flows and well-bounded turbulent shear flows. The examples presented include wakes, jets, shear layers, thermal plumes, atmospheric boundary layers, pipe and channel flow, and boundary layers in pressure gradients.The spatial structure of turbulent flow has been the subject of analysis in the book up to this point, at which a compact but thorough introduction to statistical methods is given. This prepares the reader to understand the stochastic and spectral structure of turbulence. The remainder of the book consists of applications of the statistical approach to the study of turbulent transport (including diffusion and mixing) and turbulent spectra.

Sklep: Libristo.pl

### Winning the Math Wars University of Washington Press

**Książki / Literatura obcojęzyczna**

Washington State is about to enter a new phase of the 'math wars'. Since the late 1980s, the debate over how best to teach mathematics to schoolchildren has raged worldwide among educators, politicians, and parents. The stakes are high. To operate effectively in a global, twenty-first-century economy and polity, the United States must provide an education in mathematics that is both excellent and equitable. In this volume, four scholars at the Washington School Research Center at Seattle Pacific University present original research drawn from statistical studies of state educational data and from thousands of classroom observations carried out by the Baker Educational Research Group. They assess the current state of math education and review its history and development. The authors also provide a dispassionate review of the extensive international, national, and state literature. If America's goal of educational equity and excellence is to be achieved, then math teachers everywhere must be fully supported in developing the specific skills that are ideal for educating all students. The authors' discussion focuses on four principles for improving math teaching and learning: fidelity to reform efforts by all involved; an emphasis on instruction and instructional tools; the critical nature of mathematical knowledge; and, the need for transformational change. "Winning the Math Wars" is an important book for policy makers, school leaders, practitioners of mathematics education, parents, and anyone who wants to make sense of the 'math wars'. Martin Abbott, Ph.D., is director of the WSRC and professor of sociology at Seattle Pacific University. He specializes in evaluation research and statistical analysis of large data sets. Duane Baker, Ed.D., is president of The BERC Group and an expert in assessment, classroom observation, and teaching reforms. Karen Smith, Ed.D., is winner of a presidential award in mathematics education and an experienced elementary math teacher, school administrator, and consultant to public schools. Thomas Trzyna, Ph.D., is a specialist in international education and a co-author of Toward a Global Ph.D.

Sklep: Libristo.pl

### Introduction to Quantitative Methods in Business Wiley & Sons

**Książki / Literatura obcojęzyczna**

A well-balanced and accessible introduction to elementary quantitative methods and Microsoft(r) Office Excel(r) applications used to guide business decision making§§Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(r) Office Excel(r) provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques, including applications, used in the areas of business, finance, economics, marketing, and operations.§§The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(r) Office Excel(r) also includes:§Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications§Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formulae usage, solving equations, and data analysis§End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets§A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors' Solutions Manual§§Introduction to Quantitative Methods in Business: With Applications Using Microsoft(r) Office Excel(r) is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business.

Sklep: Libristo.pl

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Sklepy zlokalizowane w miastach: Warszawa, Kraków, Łódź, Wrocław, Poznań, Gdańsk, Szczecin, Bydgoszcz, Lublin, Katowice

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t1=0.06, t2=0, t3=0, t4=0.022, t=0.061