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1. |
Record Nr. |
UNINA9910450560903321 |
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Titolo |
Physics and theoretical computer science [[electronic resource] ] : from numbers and languages to (quantum) cryptography security / / edited by Jean-Pierre Gazeau, Jaroslav Nešetřil and Branislav Rovan |
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Pubbl/distr/stampa |
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Amsterdam ; ; Washington, : IOS Press, 2007 |
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ISBN |
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6610934754 |
1-280-93475-1 |
9786610934751 |
1-4294-9211-2 |
1-60750-221-6 |
600-00-0519-9 |
1-4337-0872-8 |
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Descrizione fisica |
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1 online resource (348 p.) |
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Collana |
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NATO security through science series. D, Information and communication security, , 1574-5589 ; ; v. 7 |
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Altri autori (Persone) |
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GazeauJean-Pierre |
NešetřilJaroslav |
RovanB (Branislav) |
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Disciplina |
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Soggetti |
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Computer science - Mathematics |
Physics |
Cryptography |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Title page; Preface; Lecturers & Participants; Contents; Mathematical Aspects of Quantum Information Theory; Dynamical Symmetry Approach to Entanglement; Mathematics of Phase Transitions; The Topology of Deterministic Chaos: Stretching, Squeezing and Linking; Random Fractals; Quasicrystals: Algebraic, Combinatorial and Geometrical Aspects; Pisot Number System and Its Dual Tiling; Non-Standard Number Representation: Computer Arithmetic, Beta-Numeration and Quasicrystals; An Introduction to the Theory of Finite Transducers; Generating Languages; Basic Enumerative Combinatorics |
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An Introduction to Noncommutative Symmetric FunctionsAn Introduction to Combinatorial Hopf Algebras - Examples and Realizations -; Complex Networks: Deterministic Models; Homomorphisms of Structures Concepts and Highlight; Some Discrete Tools in Statistical Physics; Author Index |
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Sommario/riassunto |
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Aims to reinforce the interface between physical sciences, theoretical computer science, and discrete mathematics. This book assembles theoretical physicists and specialists of theoretical informatics and discrete mathematics in order to learn about developments in cryptography, algorithmics, and more. |
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2. |
Record Nr. |
UNINA9910139197303321 |
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Autore |
Woolson Robert F |
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Titolo |
Statistical methods for the analysis of biomedical data [[electronic resource] /] / Robert F. Woolson, William R. Clarke |
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Pubbl/distr/stampa |
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New York, : Wiley-Interscience, c2002 |
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ISBN |
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1-282-25345-X |
9786613814104 |
1-118-03305-1 |
1-118-03130-X |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (714 p.) |
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Collana |
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Wiley series in probability and statistics |
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Altri autori (Persone) |
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ClarkeWilliam R (William Radue) |
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Disciplina |
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Soggetti |
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Medical statistics |
Biometry |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographies and index. |
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Nota di contenuto |
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Statistical Methods for the Analysis of Biomedical Data; Dedication; Contents; Preface to the 1987 Edition; Preface to the 2002 Edition; Acknowledgments; 1 Introduction; 1.1 Overview of Statistics; 1.2 A Designed Experiment; 1.2.1 Order of Interviewing (Randomization); 1.2.2 Possible Outcomes of the Experiment (Sample Space); 1.3 Scope |
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and Organization of Book; References; 2 Descriptive Statistics; 2.1 Introduction; 2.2 Classification of Variables; 2.3 Representing Data with Notation; 2.4 Central Tendency of a Set of Data; 2.5 Variability in a Set of Data; 2.6 Pictorial Data Representation |
2.7 Sample Description with Grouped Data2.8 Tabulation and Graphing of Grouped Data; 2.9 Summary Statistics for Grouped Data; 2.10 Using SAS for Computations; 2.11 Summary; Problems; References; 3 Basic Probability Concepts; 3.1 Introduction; 3.2 Probability; 3.2.1 Probability Defined; 3.2.2 Addition Rule; 3.2.3 Conditional Probability and Multiplication Rule; 3.3 Bayes' Theorem: A Useful Result from Probability Theory; 3.4 Probability Distributions and Random Variables; 3.5 Summary; Problems; References; 4 Further Aspects of Probability; 4.1 Introduction |
4.2 Populations, Samples, and Random Samples4.3 Parameters and Statistics; 4.4 Permutations and Combinations: Factorial Notation; 4.5 Some Discrete Probability Distributions; 4.5.1 Binomial Distribution; 4.5.2 Poisson Distribution; 4.5.3 Hypergeometric Distribution; 4.5.4 Multinomial Distribution; 4.6 Normal Probability Distribution; 4.7 Sampling Distributions: Probability Distributions Generated by Random Sampling; 4.8 The t, χ2, and F Probability Distributions; 4.9 Summary; Problems; References; 5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications |
5.1 Introduction5.2 Estimation of Population Characteristics: Point and Interval Estimation; 5.2.1 Confidence Interval for a Population Mean μ with Variance σ2 Known; 5.2.2 Confidence Interval for a Population Mean μ with Variance σ2 Unknown; 5.2.3 Confidence Interval for the Variance σ2 of a Normal Population; 5.2.4 Confidence Interval for a Binomial Proportion p; 5.3 Testing Statistical Hypotheses; 5.3.1 Hypothesis Testing for a Population Mean μ σ2 Known; 5.3.2 Hypothesis Testing for a Population Mean μ σ2 Unknown; 5.3.3 Hypothesis Testing for a Normal Population Variance σ2 |
5.3.4 Hypothesis Testing for Binomial Parameter p5.4 Using SAS for Computations; 5.5 Summary; Problems; References; 6 Comparison of Two Groups: t-Tests and Rank Tests; 6.1 Introduction; 6.2 Use of t-Tests for Group Comparisons; 6.2.1 Paired t-Test for Comparing Means: A Test for Matched Pairs; 6.2.2 Two-Sample t-Test for Comparing Means: A Test for Two Independent Groups; 6.2.3 Cochran-Cox t-Test for Equality of Means: A Modified t-Test for Two Independent Groups; 6.2.4 The F-Test for Equality of Variances: A Test for Two Independent Groups; 6.2.5 Transformation of Data to Equalize Variance |
6.3 Use of Rank Tests for Group Comparisons |
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Sommario/riassunto |
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The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.* Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand. |
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