top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Combinatorial methods in discrete distributions / Charalambos A. Charalambides
Combinatorial methods in discrete distributions / Charalambos A. Charalambides
Autore Charalambides, Charalambos A.
Pubbl/distr/stampa Hoboken, NJ : Wiley Interscience, 2005
Descrizione fisica xiv, 415 p. : ill. ; 24 cm
Disciplina 511.6
Soggetto topico Combinatorial analysis
Distribution (Probability theory)
ISBN 9780471680277
Classificazione AMS 05-02
LC QA164
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991003717179707536
Charalambides, Charalambos A.  
Hoboken, NJ : Wiley Interscience, 2005
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Combinatorial stochastic processes [e-book] : ecole d'eté de probabilités de Saint-Flour XXXII-2002 / J. Pitman ; editor, Jean Picard
Combinatorial stochastic processes [e-book] : ecole d'eté de probabilités de Saint-Flour XXXII-2002 / J. Pitman ; editor, Jean Picard
Autore Pitman, Jim
Pubbl/distr/stampa Berlin : Springer, c2006
Descrizione fisica v. : digital
Disciplina 519.2
Altri autori (Persone) Picard, Jean
Altri autori (Convegni) Ecole d'été de probabilités de Saint-Flour <32 ; 2002>
Collana Lecture notes in mathematics, 0075-8434 ; 1875
Soggetto topico Combinatorics
Distribution (Probability theory)
ISBN 9783540342663
Classificazione AMS 05A
AMS 60C05
AMS 60J65
AMS 60G09
AMS 60J80
LC QA278.2.P68
Formato Software
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000565549707536
Pitman, Jim  
Berlin : Springer, c2006
Software
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
Autore Zieffler Andrew <1974->
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (332 p.)
Disciplina 519.5/4
519.54
Altri autori (Persone) HarringJeffrey <1964->
LongJeffrey D. <1964->
Soggetto topico Bootstrap (Statistics)
Random data (Statistics)
Psychology - Data processing
R (Computer program language)
Distribution (Probability theory)
Soggetto genere / forma Electronic books.
ISBN 1-283-20383-9
9786613203830
1-118-06367-8
1-118-06368-6
1-118-06366-X
Classificazione SOC027000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Comparing Groups: Randomization and Bootstrap Methods Using R; CONTENTS; List of Figures; List of Tables; Foreword; Preface; Acknowledgments; 1 An Introduction to R; 1.1 Getting Started; 1.1.1 Windows OS; 1.1.2 Mac OS; 1.1.3 Add-On Packages; 1.2 Arithmetic: R as a Calculator; 1.3 Computations in R: Functions; 1.4 Connecting Computations; 1.4.1 Naming Conventions; 1.5 Data Structures: Vectors; 1.5.1 Creating Vectors in R; 1.5.2 Computation with Vectors; 1.5.3 Character and Logical Vectors; 1.6 Getting Help; 1.7 Alternative Ways to Run R; 1.8 Extension: Matrices and Matrix Operations
1.8.1 Computation with Matrices1.9 Further Reading; Problems; 2 Data Representation and Preparation; 2.1 Tabular Data; 2.1.1 External Formats for Storing Tabular Data; 2.2 Data Entry; 2.2.1 Data Codebooks; 2.3 Reading Delimited Data into R; 2.3.1 Identifying the Location of a File; 2.3.2 Examining the Data in a Text Editor; 2.3.3 Reading Delimited Separated Data: An Example; 2.4 Data Structure: Data Frames; 2.4.1 Examining the Data Read into R; 2.5 Recording Syntax using Script Files; 2.5.1 Documentation File; 2.6 Simple Graphing in R
2.6.1 Saving Graphics to Insert into a Word-Processing File2.7 Extension: Logical Expressions and Graphs for Categorical Variables; 2.7.1 Logical Operators; 2.7.2 Measurement Level and Analysis; 2.7.3 Categorical Data; 2.7.4 Plotting Categorical Data; 2.8 Further Reading; Problems; 3 Data Exploration: One Variable; 3.1 Reading In the Data; 3.2 Nonparametric Density Estimation; 3.2.1 Graphically Summarizing the Distribution; 3.2.2 Histograms; 3.2.3 Kernel Density Estimators; 3.2.4 Controlling the Density Estimation; 3.2.5 Plotting the Estimated Density; 3.3 Summarizing the Findings
3.3.1 Creating a Plot for Publication3.3.2 Writing Up the Results for Publication; 3.4 Extension: Variability Bands for Kernel Densities; 3.5 Further Reading; Problems; 4 Exploration of Multivariate Data: Comparing Two Groups; 4.1 Graphically Summarizing the Marginal Distribution; 4.2 Graphically Summarizing Conditional Distributions; 4.2.1 Indexing: Accessing Individuals or Subsets; 4.2.2 Indexing Using a Logical Expression; 4.2.3 Density Plots of the Conditional Distributions; 4.2.4 Side-by-Side Box-and-Whiskers Plots; 4.3 Numerical Summaries of Data: Estimates of the Population Parameters
4.3.1 Measuring Central Tendency4.3.2 Measuring Variation; 4.3.3 Measuring Skewness; 4.3.4 Kurtosis; 4.4 Summarizing the Findings; 4.4.1 Creating a Plot for Publication; 4.4.2 Using Color; 4.4.3 Selecting a Color Palette; 4.5 Extension: Robust Estimation; 4.5.1 Robust Estimate of Location: The Trimmed Mean; 4.5.2 Robust Estimate of Variation: The Winsorized Variance; 4.6 Further Reading; Problems; 5 Exploration of Multivariate Data: Comparing Many Groups; 5.1 Graphing Many Conditional Distributions; 5.1.1 Panel Plots; 5.1.2 Side-by-Side Box-and-Whiskers Plots
5.2 Numerically Summarizing the Data
Record Nr. UNINA-9910139630803321
Zieffler Andrew <1974->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
Comparing groups [[electronic resource] ] : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
Autore Zieffler Andrew <1974->
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (332 p.)
Disciplina 519.5/4
519.54
Altri autori (Persone) HarringJeffrey <1964->
LongJeffrey D. <1964->
Soggetto topico Bootstrap (Statistics)
Random data (Statistics)
Psychology - Data processing
R (Computer program language)
Distribution (Probability theory)
ISBN 1-283-20383-9
9786613203830
1-118-06367-8
1-118-06368-6
1-118-06366-X
Classificazione SOC027000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Comparing Groups: Randomization and Bootstrap Methods Using R; CONTENTS; List of Figures; List of Tables; Foreword; Preface; Acknowledgments; 1 An Introduction to R; 1.1 Getting Started; 1.1.1 Windows OS; 1.1.2 Mac OS; 1.1.3 Add-On Packages; 1.2 Arithmetic: R as a Calculator; 1.3 Computations in R: Functions; 1.4 Connecting Computations; 1.4.1 Naming Conventions; 1.5 Data Structures: Vectors; 1.5.1 Creating Vectors in R; 1.5.2 Computation with Vectors; 1.5.3 Character and Logical Vectors; 1.6 Getting Help; 1.7 Alternative Ways to Run R; 1.8 Extension: Matrices and Matrix Operations
1.8.1 Computation with Matrices1.9 Further Reading; Problems; 2 Data Representation and Preparation; 2.1 Tabular Data; 2.1.1 External Formats for Storing Tabular Data; 2.2 Data Entry; 2.2.1 Data Codebooks; 2.3 Reading Delimited Data into R; 2.3.1 Identifying the Location of a File; 2.3.2 Examining the Data in a Text Editor; 2.3.3 Reading Delimited Separated Data: An Example; 2.4 Data Structure: Data Frames; 2.4.1 Examining the Data Read into R; 2.5 Recording Syntax using Script Files; 2.5.1 Documentation File; 2.6 Simple Graphing in R
2.6.1 Saving Graphics to Insert into a Word-Processing File2.7 Extension: Logical Expressions and Graphs for Categorical Variables; 2.7.1 Logical Operators; 2.7.2 Measurement Level and Analysis; 2.7.3 Categorical Data; 2.7.4 Plotting Categorical Data; 2.8 Further Reading; Problems; 3 Data Exploration: One Variable; 3.1 Reading In the Data; 3.2 Nonparametric Density Estimation; 3.2.1 Graphically Summarizing the Distribution; 3.2.2 Histograms; 3.2.3 Kernel Density Estimators; 3.2.4 Controlling the Density Estimation; 3.2.5 Plotting the Estimated Density; 3.3 Summarizing the Findings
3.3.1 Creating a Plot for Publication3.3.2 Writing Up the Results for Publication; 3.4 Extension: Variability Bands for Kernel Densities; 3.5 Further Reading; Problems; 4 Exploration of Multivariate Data: Comparing Two Groups; 4.1 Graphically Summarizing the Marginal Distribution; 4.2 Graphically Summarizing Conditional Distributions; 4.2.1 Indexing: Accessing Individuals or Subsets; 4.2.2 Indexing Using a Logical Expression; 4.2.3 Density Plots of the Conditional Distributions; 4.2.4 Side-by-Side Box-and-Whiskers Plots; 4.3 Numerical Summaries of Data: Estimates of the Population Parameters
4.3.1 Measuring Central Tendency4.3.2 Measuring Variation; 4.3.3 Measuring Skewness; 4.3.4 Kurtosis; 4.4 Summarizing the Findings; 4.4.1 Creating a Plot for Publication; 4.4.2 Using Color; 4.4.3 Selecting a Color Palette; 4.5 Extension: Robust Estimation; 4.5.1 Robust Estimate of Location: The Trimmed Mean; 4.5.2 Robust Estimate of Variation: The Winsorized Variance; 4.6 Further Reading; Problems; 5 Exploration of Multivariate Data: Comparing Many Groups; 5.1 Graphing Many Conditional Distributions; 5.1.1 Panel Plots; 5.1.2 Side-by-Side Box-and-Whiskers Plots
5.2 Numerically Summarizing the Data
Record Nr. UNINA-9910830144103321
Zieffler Andrew <1974->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Comparing groups : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
Comparing groups : randomization and bootstrap methods using R / / Andrew S. Zieffler, Jeffrey R. Harring, Jeffrey D. Long
Autore Zieffler Andrew <1974->
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (332 p.)
Disciplina 519.5/4
Altri autori (Persone) HarringJeffrey <1964->
LongJeffrey D. <1964->
Soggetto topico Bootstrap (Statistics)
Random data (Statistics)
Psychology - Data processing
R (Computer program language)
Distribution (Probability theory)
ISBN 1-283-20383-9
9786613203830
1-118-06367-8
1-118-06368-6
1-118-06366-X
Classificazione SOC027000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Comparing Groups: Randomization and Bootstrap Methods Using R; CONTENTS; List of Figures; List of Tables; Foreword; Preface; Acknowledgments; 1 An Introduction to R; 1.1 Getting Started; 1.1.1 Windows OS; 1.1.2 Mac OS; 1.1.3 Add-On Packages; 1.2 Arithmetic: R as a Calculator; 1.3 Computations in R: Functions; 1.4 Connecting Computations; 1.4.1 Naming Conventions; 1.5 Data Structures: Vectors; 1.5.1 Creating Vectors in R; 1.5.2 Computation with Vectors; 1.5.3 Character and Logical Vectors; 1.6 Getting Help; 1.7 Alternative Ways to Run R; 1.8 Extension: Matrices and Matrix Operations
1.8.1 Computation with Matrices1.9 Further Reading; Problems; 2 Data Representation and Preparation; 2.1 Tabular Data; 2.1.1 External Formats for Storing Tabular Data; 2.2 Data Entry; 2.2.1 Data Codebooks; 2.3 Reading Delimited Data into R; 2.3.1 Identifying the Location of a File; 2.3.2 Examining the Data in a Text Editor; 2.3.3 Reading Delimited Separated Data: An Example; 2.4 Data Structure: Data Frames; 2.4.1 Examining the Data Read into R; 2.5 Recording Syntax using Script Files; 2.5.1 Documentation File; 2.6 Simple Graphing in R
2.6.1 Saving Graphics to Insert into a Word-Processing File2.7 Extension: Logical Expressions and Graphs for Categorical Variables; 2.7.1 Logical Operators; 2.7.2 Measurement Level and Analysis; 2.7.3 Categorical Data; 2.7.4 Plotting Categorical Data; 2.8 Further Reading; Problems; 3 Data Exploration: One Variable; 3.1 Reading In the Data; 3.2 Nonparametric Density Estimation; 3.2.1 Graphically Summarizing the Distribution; 3.2.2 Histograms; 3.2.3 Kernel Density Estimators; 3.2.4 Controlling the Density Estimation; 3.2.5 Plotting the Estimated Density; 3.3 Summarizing the Findings
3.3.1 Creating a Plot for Publication3.3.2 Writing Up the Results for Publication; 3.4 Extension: Variability Bands for Kernel Densities; 3.5 Further Reading; Problems; 4 Exploration of Multivariate Data: Comparing Two Groups; 4.1 Graphically Summarizing the Marginal Distribution; 4.2 Graphically Summarizing Conditional Distributions; 4.2.1 Indexing: Accessing Individuals or Subsets; 4.2.2 Indexing Using a Logical Expression; 4.2.3 Density Plots of the Conditional Distributions; 4.2.4 Side-by-Side Box-and-Whiskers Plots; 4.3 Numerical Summaries of Data: Estimates of the Population Parameters
4.3.1 Measuring Central Tendency4.3.2 Measuring Variation; 4.3.3 Measuring Skewness; 4.3.4 Kurtosis; 4.4 Summarizing the Findings; 4.4.1 Creating a Plot for Publication; 4.4.2 Using Color; 4.4.3 Selecting a Color Palette; 4.5 Extension: Robust Estimation; 4.5.1 Robust Estimate of Location: The Trimmed Mean; 4.5.2 Robust Estimate of Variation: The Winsorized Variance; 4.6 Further Reading; Problems; 5 Exploration of Multivariate Data: Comparing Many Groups; 5.1 Graphing Many Conditional Distributions; 5.1.1 Panel Plots; 5.1.2 Side-by-Side Box-and-Whiskers Plots
5.2 Numerically Summarizing the Data
Record Nr. UNINA-9910876617403321
Zieffler Andrew <1974->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational mathematics driven by industrial problems [e-book] : lectures given at the 1st session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Martina Franca, Italy, June 21-27, 1999 / edited by Rainer E. Burkard ... [et al.]
Computational mathematics driven by industrial problems [e-book] : lectures given at the 1st session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Martina Franca, Italy, June 21-27, 1999 / edited by Rainer E. Burkard ... [et al.]
Pubbl/distr/stampa Berlin : Springer, 2000
Descrizione fisica 1 online resource (x, 426 p.)
Disciplina 518
Altri autori (Persone) Burkard, Rainer E.
Collana Lecture Notes in Mathematics, 0075-8434 ; 1739
Soggetto topico Mathematics
Systems theory
Numerical analysis
Mathematical optimization
Distribution (Probability theory)
Thermodynamics
ISBN 9783540449768
Classificazione AMS 41-XX
AMS 49-XX
AMS 60D05
AMS 60G
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991002222039707536
Berlin : Springer, 2000
Risorse elettroniche
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Concentration inequalities and model selection [e-book] : Été de probabilités de Saint-Flour XXXIII - 2003 / by Pascal Massart ; edited by Jean Picard
Concentration inequalities and model selection [e-book] : Été de probabilités de Saint-Flour XXXIII - 2003 / by Pascal Massart ; edited by Jean Picard
Autore Massart, Pascal
Pubbl/distr/stampa Berlin ; Heidelberg : Springer, 2007
Descrizione fisica v.: digital
Altri autori (Persone) Picard, Jean
Collana Lecture Notes in Mathematics, 0075-8434 ; 1896
Soggetto topico Distribution (Probability theory)
Mathematical statistics
ISBN 9783540485032
Formato Software
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000567009707536
Massart, Pascal  
Berlin ; Heidelberg : Springer, 2007
Software
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Concentration of measure for the analysis of randomized algorithms / / Devdatt Dubhashi, Alessandro Panconesi [[electronic resource]]
Concentration of measure for the analysis of randomized algorithms / / Devdatt Dubhashi, Alessandro Panconesi [[electronic resource]]
Autore Dubhashi Devdatt
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2009
Descrizione fisica 1 online resource (xiv, 196 pages) : digital, PDF file(s)
Disciplina 518/.1
Soggetto topico Random variables
Distribution (Probability theory)
Limit theorems (Probability theory)
Algorithms
ISBN 1-107-20031-8
1-139-63769-X
1-282-30277-9
9786612302770
0-511-58063-0
0-511-58095-9
0-511-57955-1
0-511-57881-4
0-511-58127-0
0-511-58029-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chernoff-Hoeffding bounds -- Applications of the Chernoff-Hoeffding bounds -- Chernoff-Hoeffding bounds in dependent settings -- Interlude : probabilistic recurrences -- Martingales and the method of bounded differences -- The simple method of bounded differences in action -- The method of averaged bounded differences -- The method of bounded variances -- Interlude : the infamous upper tail -- Isoperimetric inequalities and concentration -- Talagrand's isoperimetric inequality -- Isoperimetric inequalities and concentration via transportation cost inequalities -- Quadratic transportation cost and Talagrand's inequality -- Log-Sobolev inequalities and concentration -- Appendix A : summary of the most useful bounds.
Record Nr. UNINA-9910454552903321
Dubhashi Devdatt  
Cambridge : , : Cambridge University Press, , 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Concentration of measure for the analysis of randomized algorithms / / Devdatt Dubhashi, Alessandro Panconesi [[electronic resource]]
Concentration of measure for the analysis of randomized algorithms / / Devdatt Dubhashi, Alessandro Panconesi [[electronic resource]]
Autore Dubhashi Devdatt
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2009
Descrizione fisica 1 online resource (xiv, 196 pages) : digital, PDF file(s)
Disciplina 518/.1
Soggetto topico Random variables
Distribution (Probability theory)
Limit theorems (Probability theory)
Algorithms
ISBN 1-107-20031-8
1-139-63769-X
1-282-30277-9
9786612302770
0-511-58063-0
0-511-58095-9
0-511-57955-1
0-511-57881-4
0-511-58127-0
0-511-58029-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chernoff-Hoeffding bounds -- Applications of the Chernoff-Hoeffding bounds -- Chernoff-Hoeffding bounds in dependent settings -- Interlude : probabilistic recurrences -- Martingales and the method of bounded differences -- The simple method of bounded differences in action -- The method of averaged bounded differences -- The method of bounded variances -- Interlude : the infamous upper tail -- Isoperimetric inequalities and concentration -- Talagrand's isoperimetric inequality -- Isoperimetric inequalities and concentration via transportation cost inequalities -- Quadratic transportation cost and Talagrand's inequality -- Log-Sobolev inequalities and concentration -- Appendix A : summary of the most useful bounds.
Record Nr. UNINA-9910777912603321
Dubhashi Devdatt  
Cambridge : , : Cambridge University Press, , 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Concentration of measure for the analysis of randomized algorithms / / Devdatt Dubhashi, Alessandro Panconesi
Concentration of measure for the analysis of randomized algorithms / / Devdatt Dubhashi, Alessandro Panconesi
Autore Dubhashi Devdatt
Edizione [1st ed.]
Pubbl/distr/stampa New York, : Cambridge University Press, 2009
Descrizione fisica 1 online resource (xiv, 196 pages) : digital, PDF file(s)
Disciplina 518/.1
Altri autori (Persone) PanconesiAlessandro
Soggetto topico Random variables
Distribution (Probability theory)
Limit theorems (Probability theory)
Algorithms
ISBN 1-107-20031-8
1-139-63769-X
1-282-30277-9
9786612302770
0-511-58063-0
0-511-58095-9
0-511-57955-1
0-511-57881-4
0-511-58127-0
0-511-58029-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chernoff-Hoeffding bounds -- Applications of the Chernoff-Hoeffding bounds -- Chernoff-Hoeffding bounds in dependent settings -- Interlude : probabilistic recurrences -- Martingales and the method of bounded differences -- The simple method of bounded differences in action -- The method of averaged bounded differences -- The method of bounded variances -- Interlude : the infamous upper tail -- Isoperimetric inequalities and concentration -- Talagrand's isoperimetric inequality -- Isoperimetric inequalities and concentration via transportation cost inequalities -- Quadratic transportation cost and Talagrand's inequality -- Log-Sobolev inequalities and concentration -- Appendix A : summary of the most useful bounds.
Record Nr. UNINA-9910819144403321
Dubhashi Devdatt  
New York, : Cambridge University Press, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui