Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell |
Autore | Pearl Judea |
Pubbl/distr/stampa | West Sussex, England : , : Wiley, , 2016 |
Descrizione fisica | 1 online resource (181 p.) |
Disciplina | 519.5/4 |
Soggetto topico |
Mathematical statistics
Causation Probabilities |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-18686-2
1-119-18685-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preliminaries : statistical and causal models -- Graphical models and their applications -- The effects of interventions -- Counterfactuals and their applications. |
Record Nr. | UNINA-9910466121403321 |
Pearl Judea
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West Sussex, England : , : Wiley, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell |
Autore | Pearl Judea |
Pubbl/distr/stampa | West Sussex, England : , : Wiley, , 2016 |
Descrizione fisica | 1 online resource (181 pages) : illustrations, tables |
Disciplina | 519.5/4 |
Soggetto topico |
Causation
Mathematical statistics Probabilities |
ISBN |
1-119-18686-2
1-119-18685-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910795961503321 |
Pearl Judea
![]() |
||
West Sussex, England : , : Wiley, , 2016 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Causal inference in statistics : a primer / / Judea Pearl, Madelyn Glymour, Nicholas P. Jewell |
Autore | Pearl Judea |
Pubbl/distr/stampa | West Sussex, England : , : Wiley, , 2016 |
Descrizione fisica | 1 online resource (181 pages) : illustrations, tables |
Disciplina | 519.5/4 |
Soggetto topico |
Causation
Mathematical statistics Probabilities |
ISBN |
1-119-18686-2
1-119-18685-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910814675503321 |
Pearl Judea
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||
West Sussex, England : , : Wiley, , 2016 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
A Chronicle of Permutation Statistical Methods [[electronic resource] ] : 1920–2000, and Beyond / / by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke Jr |
Autore | Berry Kenneth J |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (535 p.) |
Disciplina |
510.9
519.5 519.5/4 519.54 |
Soggetto topico |
Statistics
Mathematics History Statistics, general History of Mathematical Sciences |
ISBN | 3-319-02744-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- 1.Introduction -- 2.1920–1939 -- 3.1940–1959 -- 4.1960–1979 -- 5.1980–2000 -- 6.Beyond 2000 -- Epilogue -- References -- Acronyms -- Name Index -- Subject Index. |
Record Nr. | UNINA-9910299963803321 |
Berry Kenneth J
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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-9910841548003321 |
Zieffler Andrew <1974->
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||
Hoboken, N.J., : Wiley, c2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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Generic inference [[electronic resource] ] : a unifying theory for automated reasoning / / Marc Pouly, Jürg Kohlas |
Autore | Pouly Marc <1980-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey, : Wiley, 2011 |
Descrizione fisica | 1 online resource (486 p.) |
Disciplina |
006.3015181
519.5/4 |
Altri autori (Persone) | KohlasJürg <1939-> |
Soggetto topico |
Valuation theory
Algorithms Algebra, Abstract |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-12633-8
9786613126337 1-118-01086-8 1-118-01087-6 1-118-01084-1 |
Classificazione | TEC008000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | pt. 1. Logical computation -- pt. 2. Generic constructions -- pt. 3. Applications. |
Record Nr. | UNINA-9910140976103321 |
Pouly Marc <1980->
![]() |
||
Hoboken, New Jersey, : Wiley, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Generic inference [[electronic resource] ] : a unifying theory for automated reasoning / / Marc Pouly, Jürg Kohlas |
Autore | Pouly Marc <1980-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey, : Wiley, 2011 |
Descrizione fisica | 1 online resource (486 p.) |
Disciplina |
006.3015181
519.5/4 |
Altri autori (Persone) | KohlasJürg <1939-> |
Soggetto topico |
Valuation theory
Algorithms Algebra, Abstract |
ISBN |
1-283-12633-8
9786613126337 1-118-01086-8 1-118-01087-6 1-118-01084-1 |
Classificazione | TEC008000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | pt. 1. Logical computation -- pt. 2. Generic constructions -- pt. 3. Applications. |
Record Nr. | UNINA-9910830767103321 |
Pouly Marc <1980->
![]() |
||
Hoboken, New Jersey, : Wiley, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Generic inference [[electronic resource] ] : a unifying theory for automated reasoning / / Marc Pouly, Jürg Kohlas |
Autore | Pouly Marc <1980-> |
Edizione | [1st edition] |
Pubbl/distr/stampa | Hoboken, New Jersey, : Wiley, 2011 |
Descrizione fisica | 1 online resource (486 p.) |
Disciplina |
006.3015181
519.5/4 |
Altri autori (Persone) | KohlasJürg <1939-> |
Soggetto topico |
Valuation theory
Algorithms Algebra, Abstract |
ISBN |
1-283-12633-8
9786613126337 1-118-01086-8 1-118-01087-6 1-118-01084-1 |
Classificazione | TEC008000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | pt. 1. Logical computation -- pt. 2. Generic constructions -- pt. 3. Applications. |
Record Nr. | UNINA-9910841297003321 |
Pouly Marc <1980->
![]() |
||
Hoboken, New Jersey, : Wiley, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|