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Biblioteca

MARC Lista (tabellare)
Berühmte Aufgaben der Stochastik : Von den Anfängen bis heute / / Rudolf Haller, Friedrich Barth
Berühmte Aufgaben der Stochastik : Von den Anfängen bis heute / / Rudolf Haller, Friedrich Barth
Autore Haller Rudolf (Mathematician)
Edizione [2., überarbeitete Auflage]
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2016]
Descrizione fisica 1 online resource (499 p.)
Disciplina 519.2/2
Collana De Gruyter Studium
Soggetto topico Stochastik
Wahrscheinlichkeitsrechnung
MATHEMATICS / Probability & Statistics / General
Soggetto genere / forma Electronic books.
ISBN 3-11-048077-8
3-11-048090-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Frontmatter -- Vorwort zur 1. Auflage -- Vorwort zur 2. Auflage -- Inhaltsverzeichnis -- Von den Anfängen bis zum Ende des Mittelalters -- Beginn der Neuzeit -- 1. Hälfte des 17. Jahrhunderts -- HUYGENS' Tractatus de Ratiociniis in Aleae Ludo von 1657 -- 2. Hälfte des 17. Jahrhunderts -- Beginn des 18. Jahrhunderts -- JAKOB BERNOULLIs Ars Conjectandi von 1713 -- MONTMORTs Essay d'Analyse sur les Jeux de Hazard von 1713 -- NIKOLAUS BERNOULLIs Petersburger Problem von 1713 -- Die Jahre nach 1713 bis 1750 -- 2. Hälfte des 18. Jahrhunderts -- 1. Hälfte des 19. Jahrhunderts -- 2. Hälfte des 19. Jahrhunderts -- Das 20. Jahrhundert -- Nachtrag -- Lebensdaten -- Literatur -- Abbildungsverzeichnis -- Personenregister -- Sachregister
Record Nr. UNINA-9910164964103321
Haller Rudolf (Mathematician)  
Berlin ; ; Boston : , : De Gruyter, , [2016]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Berühmte Aufgaben der Stochastik : Von den Anfängen bis heute / / Rudolf Haller, Friedrich Barth
Berühmte Aufgaben der Stochastik : Von den Anfängen bis heute / / Rudolf Haller, Friedrich Barth
Autore Haller Rudolf (Mathematician)
Edizione [2., überarbeitete Auflage]
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2016]
Descrizione fisica 1 online resource (499 p.)
Disciplina 519.2/2
Collana De Gruyter Studium
Soggetto topico Stochastik
Wahrscheinlichkeitsrechnung
MATHEMATICS / Probability & Statistics / General
ISBN 3-11-048077-8
3-11-048090-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Frontmatter -- Vorwort zur 1. Auflage -- Vorwort zur 2. Auflage -- Inhaltsverzeichnis -- Von den Anfängen bis zum Ende des Mittelalters -- Beginn der Neuzeit -- 1. Hälfte des 17. Jahrhunderts -- HUYGENS' Tractatus de Ratiociniis in Aleae Ludo von 1657 -- 2. Hälfte des 17. Jahrhunderts -- Beginn des 18. Jahrhunderts -- JAKOB BERNOULLIs Ars Conjectandi von 1713 -- MONTMORTs Essay d'Analyse sur les Jeux de Hazard von 1713 -- NIKOLAUS BERNOULLIs Petersburger Problem von 1713 -- Die Jahre nach 1713 bis 1750 -- 2. Hälfte des 18. Jahrhunderts -- 1. Hälfte des 19. Jahrhunderts -- 2. Hälfte des 19. Jahrhunderts -- Das 20. Jahrhundert -- Nachtrag -- Lebensdaten -- Literatur -- Abbildungsverzeichnis -- Personenregister -- Sachregister
Record Nr. UNINA-9910792676303321
Haller Rudolf (Mathematician)  
Berlin ; ; Boston : , : De Gruyter, , [2016]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Berühmte Aufgaben der Stochastik : Von den Anfängen bis heute / / Rudolf Haller, Friedrich Barth
Berühmte Aufgaben der Stochastik : Von den Anfängen bis heute / / Rudolf Haller, Friedrich Barth
Autore Haller Rudolf (Mathematician)
Edizione [2., überarbeitete Auflage]
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2016]
Descrizione fisica 1 online resource (499 p.)
Disciplina 519.2/2
Collana De Gruyter Studium
Soggetto topico Stochastik
Wahrscheinlichkeitsrechnung
MATHEMATICS / Probability & Statistics / General
ISBN 3-11-048077-8
3-11-048090-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Frontmatter -- Vorwort zur 1. Auflage -- Vorwort zur 2. Auflage -- Inhaltsverzeichnis -- Von den Anfängen bis zum Ende des Mittelalters -- Beginn der Neuzeit -- 1. Hälfte des 17. Jahrhunderts -- HUYGENS' Tractatus de Ratiociniis in Aleae Ludo von 1657 -- 2. Hälfte des 17. Jahrhunderts -- Beginn des 18. Jahrhunderts -- JAKOB BERNOULLIs Ars Conjectandi von 1713 -- MONTMORTs Essay d'Analyse sur les Jeux de Hazard von 1713 -- NIKOLAUS BERNOULLIs Petersburger Problem von 1713 -- Die Jahre nach 1713 bis 1750 -- 2. Hälfte des 18. Jahrhunderts -- 1. Hälfte des 19. Jahrhunderts -- 2. Hälfte des 19. Jahrhunderts -- Das 20. Jahrhundert -- Nachtrag -- Lebensdaten -- Literatur -- Abbildungsverzeichnis -- Personenregister -- Sachregister
Record Nr. UNINA-9910827623403321
Haller Rudolf (Mathematician)  
Berlin ; ; Boston : , : De Gruyter, , [2016]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Methods and applications of linear models : regression and the analysis of variance / / Ronald R. Hocking, PenHock Statistical Consultants
Methods and applications of linear models : regression and the analysis of variance / / Ronald R. Hocking, PenHock Statistical Consultants
Autore Hocking R. R (Ronald R.), <1932->
Edizione [3rd ed.]
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, , 2013
Descrizione fisica 1 online resource (717 p.)
Disciplina 519.5/36
Collana Wiley Series in Probability and Statistics
Soggetto topico Regression analysis
Analysis of variance
Linear models (Statistics)
MATHEMATICS / Probability & Statistics / General
Soggetto genere / forma Electronic books.
ISBN 1-118-59302-2
1-118-64019-5
1-118-59304-9
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Methods and Applications of Linear Models; Contents; Preface to the Third Edition; Preface to the Second Edition; Preface to the First Edition; PART I REGRESSION; 1 Introduction to Linear Models; 1.1 Background Information; 1.2 Mathematical and Statistical Models; 1.3 Definition of the Linear Model; 1.4 Examples of Regression Models; 1.4.1 Single-Variable, Regression Model; 1.4.2 Regression Models with Several Inputs; 1.4.3 Discrete Response Variables; 1.4.4 Multivariate Linear Models; 1.5 Concluding Comments; Exercises; 2 Regression on Functions of One Variable
2.1 The Simple Linear Regression Model2.2 Parameter Estimation; 2.2.1 Least Squares Estimation; 2.2.2 Maximum Likelihood Estimation; 2.2.3 Coded Data: Centering and Scaling; 2.2.4 The Analysis of Variance Table; 2.3 Properties of the Estimators and Test Statistics; 2.3.1 Moments of Linear Functions of Random Variables; 2.3.2 Moments of Least Squares Estimators; 2.3.3 Distribution of the Least Squares Estimators; 2.3.4 The Distribution of Test Statistics; 2.4 The Analysis of Simple Linear Regression Models; 2.4.1 Two Numerical Examples; 2.4.2 A Test for Lack-of-Fit
2.4.3 Inference on the Parameters of the Model2.4.4 Prediction and Prediction Intervals; 2.5 Examining the Data and the Model; 2.5.1 Residuals; 2.5.2 Outliers, Extreme Points, and Influence; 2.5.3 Normality, Independence, and Variance Homogeneity; 2.6 Polynomial Regression Models; 2.6.1 The Quadratic Model; 2.6.2 Higher Ordered Polynomial Models; 2.6.3 Orthogonal Polynomials; 2.6.4 Regression through the Origin; Exercises; 3 Transforming the Data; 3.1 The Need for Transformations; 3.2 Weighted Least Squares; 3.3 Variance Stabilizing Transformations
3.4 Transformations to Achieve a Linear Model3.4.1 Transforming the Dependent Variable; 3.4.2 Transforming the Predictors; 3.5 Analysis of the Transformed Model; 3.5.1 Transformations with Forbes Data; Exercises; 4 Regression on Functions of Several Variables; 4.1 The Multiple Linear Regression Model; 4.2 Preliminary Data Analysis; 4.3 Analysis of the Multiple Linear Regression Model; 4.3.1 Fitting the Model in Centered Form; 4.3.2 Estimation and Analysis of the Original Data; 4.3.3 Model Assessment and Residual Analysis; 4.3.4 Prediction; 4.3.5 Transforming the Response
4.4 Partial Correlation and Added-Variable Plots4.4.1 Partial Correlation; 4.4.2 Added-Variable Plots; 4.4.3 Simple Versus Partial Correlation; 4.5 Variable Selection; 4.5.1 The Case of Orthogonal Predictors; 4.5.2 Criteria for Deletion of Variables; 4.5.3 Nonorthogonal Predictors; 4.5.4 Computational Considerations; 4.5.5 Selection Strategies; 4.6 Model Specification; 4.6.1 Application to Subset Selection; 4.6.2 Improved Mean Squared Error; 4.6.3 Development of the Cp Statistic; Exercises; 5 Collinearity in Multiple Linear Regression; 5.1 The Collinearity Problem; 5.1.1 Introduction
5.1.2 A Simple Example
Record Nr. UNINA-9910452282203321
Hocking R. R (Ronald R.), <1932->  
Hoboken, New Jersey : , : John Wiley & Sons, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability and Statistics : A Course for Physicists and Engineers / / Arak M. Mathai, Hans J. Haubold
Probability and Statistics : A Course for Physicists and Engineers / / Arak M. Mathai, Hans J. Haubold
Autore Mathai Arak M.
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2017]
Descrizione fisica 1 online resource (604 p.)
Disciplina 519.2
Collana De Gruyter Textbook
Soggetto topico Engineering - Statistical methods
Probabilities
Modellbildung
Statistik
Versuchsplanung
Wahrscheinlichkeitsrechnung
Wahrscheinlichkeitstheorie
MATHEMATICS / Probability & Statistics / General
Soggetto genere / forma Electronic books.
Classificazione SK 800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Introduction / Mathai, A. M. / Haubold, Hans J. -- Preface / Mathai, A. M. / Haubold, Hans J. -- Acknowledgement -- Contents -- List of Tables -- List of Symbols -- 1. Random phenomena -- 2. Probability -- 3. Random variables -- 4. Expected values -- 5. Commonly used discrete distributions -- 6. Commonly used density functions -- 7. Joint distributions -- 8. Some multivariate distributions -- 9. Collection of random variables -- 10. Sampling distributions -- 11. Estimation -- 12. Interval estimation -- 13. Tests of statistical hypotheses -- 14. Model building and regression -- 15. Design of experiments and analysis of variance -- 16. Questions and answers -- Tables of percentage points -- References -- Index
Record Nr. UNINA-9910258747703321
Mathai Arak M.  
Berlin ; ; Boston : , : De Gruyter, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability and Statistics : A Course for Physicists and Engineers / / Arak M. Mathai, Hans J. Haubold
Probability and Statistics : A Course for Physicists and Engineers / / Arak M. Mathai, Hans J. Haubold
Autore Mathai Arak M.
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter, , [2017]
Descrizione fisica 1 online resource (604 p.)
Disciplina 519.2
Collana De Gruyter Textbook
Soggetto topico Engineering - Statistical methods
Probabilities
Modellbildung
Statistik
Versuchsplanung
Wahrscheinlichkeitsrechnung
Wahrscheinlichkeitstheorie
MATHEMATICS / Probability & Statistics / General
Classificazione SK 800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Introduction / Mathai, A. M. / Haubold, Hans J. -- Preface / Mathai, A. M. / Haubold, Hans J. -- Acknowledgement -- Contents -- List of Tables -- List of Symbols -- 1. Random phenomena -- 2. Probability -- 3. Random variables -- 4. Expected values -- 5. Commonly used discrete distributions -- 6. Commonly used density functions -- 7. Joint distributions -- 8. Some multivariate distributions -- 9. Collection of random variables -- 10. Sampling distributions -- 11. Estimation -- 12. Interval estimation -- 13. Tests of statistical hypotheses -- 14. Model building and regression -- 15. Design of experiments and analysis of variance -- 16. Questions and answers -- Tables of percentage points -- References -- Index
Record Nr. UNISA-996309060403316
Mathai Arak M.  
Berlin ; ; Boston : , : De Gruyter, , [2017]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Statistics for business / / Perumal Mariappan
Statistics for business / / Perumal Mariappan
Autore Mariappan Perumal
Pubbl/distr/stampa Boca Raton, FL : , : CRC Press, , 2019
Descrizione fisica 1 online resource
Disciplina 519.5
Soggetto topico Commercial statistics
MATHEMATICS / Applied
MATHEMATICS / Probability & Statistics / General
BUSINESS & ECONOMICS / Management Science
REFERENCE / General
ISBN 0-429-81150-0
0-429-44324-2
0-429-81149-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910793515703321
Mariappan Perumal  
Boca Raton, FL : , : CRC Press, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistics Using Python
Statistics Using Python
Autore Campesato Oswald
Edizione [1st ed.]
Pubbl/distr/stampa Bloomfield : , : Mercury Learning & Information, , 2023
Descrizione fisica 1 online resource (273 pages)
Soggetto topico Python (Computer program language) - Statistical methods
MATHEMATICS / Probability & Statistics / General
ISBN 9781683928782
1683928784
9781683928799
1683928792
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover -- Half-Title Page -- LICENSE, DISCLAIMER OF LIABILITY, AND LIMITED WARRANTY -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- CHAPTER 1: Working with Data -- What is Data Literacy? -- Exploratory Data Analysis (EDA) -- Dealing with Data: What Can Go Wrong? -- An Explanation of Data Types -- Working with Data Types -- What is Drift? -- Discrete Data Versus Continuous Data -- Binning Data Values -- Correlation -- Working with Synthetic Data -- Summary -- CHAPTER 2: Introduction to Probability -- What is Set Theory? -- Open, Closed, Compact, and Convex Sets (Optional) -- Concepts in Probability -- Set Theory and Probability -- Coin Tossing Probabilities -- Dice Tossing Probabilities -- Card Drawing Probabilities -- Container-Based Probabilities -- Children-Related Probabilities -- Summary -- CHAPTER 3: Introduction to Statistics -- Introduction to Statistics -- Basic Concepts in Statistics -- The Variance and Standard Deviation -- The Moments of a Function (Optional) -- Random Variables -- Multiple Random Variables -- Sampling Techniques for a Population -- What is Bias? -- Two Important Results in Probability -- Summary -- CHAPTER 4: Metrics in Statistics -- The Confusion Matrix -- The ROC Curve and AUC Curve -- The sklearn.metrics Module (Optional) -- Statistical Metrics for Categorical Data -- Metrics for Continuous Data -- MAE, MSE, and RMSE -- Approximating Linear Data with np.linspace() -- Summary -- CHAPTER 5: Probability Distributions -- PDF, CDF, and PMF -- Two Types of Probability Distributions -- Discrete Probability Distributions -- Continuous Probability Distributions -- Advanced Probability Functions -- Non-Gaussian Distributions -- The Best-Fitting Distribution for Data -- Summary -- CHAPTER 6: Hypothesis Testing -- What is Hypothesis Testing? -- Components of Hypothesis Testing -- Test Statistics.
Working with p-values -- Working with Alpha Values -- Point Estimation, Confidence Level, and Confidence Intervals -- What is A/B Testing? -- The Lifespan of an A/B Test -- Maximum Likelihood Estimation (MLE) -- Summary -- Appendix A: Introduction to Python -- Tools for Python -- Python Installation -- Setting the PATH Environment Variable (Windows Only) -- Launching Python on Your Machine -- Identifiers -- Lines, Indentation, and Multi-Line Statements -- Quotation Marks and Comments -- Saving Your Code in a Module -- Some Standard Modules -- The help() and dir() Functions -- Compile Time and Runtime Code Checking -- Simple Data Types -- Working with Numbers -- Working with Fractions -- Unicode and UTF-8 -- Working with Strings -- Slicing and Splicing Strings -- Search and Replace a String in Other Strings -- Remove Leading and Trailing Characters -- Printing Text without New Line Characters -- Text Alignment -- Working with Dates -- Exception Handling -- Handling User Input -- Python and Emojis (Optional) -- Command-Line Arguments -- Summary -- Appendix B: Introduction to Pandas -- What is Pandas? -- A Pandas Data Frame with a NumPy Example -- Describing a Pandas Data Frame -- Boolean Data Frames -- Data Frames and Random Numbers -- Reading CSV Files in Pandas -- The loc() and iloc() Methods -- Converting Categorical Data to Numeric Data -- Matching and Splitting Strings -- Converting Strings to Dates -- Working with Date Ranges -- Detecting Missing Dates -- Interpolating Missing Dates -- Other Operations with Dates -- Merging and Splitting Columns in Pandas -- Reading HTML Web Pages -- Saving a Pandas Data Frame as an HTML Web Page -- Summary -- Index.
Record Nr. UNINA-9911007182203321
Campesato Oswald  
Bloomfield : , : Mercury Learning & Information, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui