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Applied Probability : From Random Sequences to Stochastic Processes / / by Valérie Girardin, Nikolaos Limnios
| Applied Probability : From Random Sequences to Stochastic Processes / / by Valérie Girardin, Nikolaos Limnios |
| Autore | Girardin Valérie |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 260 p. 30 illus., 1 illus. in color.) |
| Disciplina | 519.2 |
| Soggetto topico |
Probabilities
Statistics Mathematical statistics Engineering mathematics Epidemiology Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability and Statistics in Computer Science Statistics for Business, Management, Economics, Finance, Insurance Engineering Mathematics |
| ISBN | 3-319-97412-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Independent Random Sequences -- Conditions and Martingales -- Markov Chains -- Continuous Time Stochastic Processes -- Markov and Semi-Markov Processes -- Further Reading.-. |
| Record Nr. | UNINA-9910300140203321 |
Girardin Valérie
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Quantitative Finance / / edited by Wolfgang Karl Härdle, Cathy Yi-Hsuan Chen, Ludger Overbeck
| Applied Quantitative Finance / / edited by Wolfgang Karl Härdle, Cathy Yi-Hsuan Chen, Ludger Overbeck |
| Edizione | [3rd ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (X, 372 p. 111 illus., 75 illus. in color.) |
| Disciplina | 332.0151 |
| Collana | Statistics and Computing |
| Soggetto topico |
Statistics
Economics, Mathematical Risk management Business enterprises—Finance Statistics for Business, Management, Economics, Finance, Insurance Quantitative Finance Risk Management Business Finance |
| ISBN | 3-662-54486-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Market Risk: VaR in High-Dimensional Systems -- Multivariate Volatility Models -- Portfolio Selection with Spectral Risk Measures -- Implementation of Local Stochastic Volatility Model -- Part II Credit Risk: Estimating DTD via Sequential Monte Carlo.- Risk Measurement with Spectral Capital Allocation.- Market Based Credit Rating and its Applications.- Using Public Information to Predict Corporate Default Risk.- Stress Testing in Credit Portfolio Models.- Penalized Independent Factor.- Term Structure of Loss Cascades in Portfolio Securitisation.- Credit Rating Score Analysis -- Part III Dynamics Risk Measurement: Copulae in High Dimensions - An Introduction.- Measuring and Modeling Risk Using High-Frequency Data.- Measuring Financial Risk in Energy Markets.- Risk Analysis of Cryptocurrency as an Alternative Asset Class.- Time Varying Quantile Lasso.- Dynamic Topic Modelling for Cryptocurrency Community Forums. |
| Record Nr. | UNINA-9910254306803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Regression Analysis for Business : Tools, Traps and Applications / / by Jacek Welc, Pedro J. Rodriguez Esquerdo
| Applied Regression Analysis for Business : Tools, Traps and Applications / / by Jacek Welc, Pedro J. Rodriguez Esquerdo |
| Autore | Welc Jacek |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XI, 286 p. 58 illus. in color.) |
| Disciplina | 330.0151 |
| Soggetto topico |
Business mathematics
Statistics Econometrics Business Mathematics Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN | 3-319-71156-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface.- Basics of regression models.- Relevance of outlying and influential observations for regression analysis.- Basic procedure for multiple regression model building -- Verification of multiple regression model -- Common adjustments to multiple regressions -- Common pitfalls in regression analysis -- Regression analysis of discrete dependent variables -- Real-life case-study: The quarterly sales revenues of Nokia Corporation -- Real-life case-study: Identifying overvalued and undervalued airlines -- Appendix: Statistical Tables. |
| Record Nr. | UNINA-9910298182503321 |
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Welc Jacek
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using SPSS, Stata, and Excel / / by Thomas Cleff
| Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using SPSS, Stata, and Excel / / by Thomas Cleff |
| Autore | Cleff Thomas |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXIII, 474 p. 269 illus., 110 illus. in color.) |
| Disciplina | 519.535 |
| Soggetto topico |
Econometrics
Big data Statistics Big Data/Analytics Statistics for Business, Management, Economics, Finance, Insurance Statistics for Social Sciences, Humanities, Law Statistics and Computing/Statistics Programs Econometria Anàlisi multivariable Estadística econòmica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-17767-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Statistics and Empirical Research -- From Disarray to Dataset -- Univariate Data Analysis -- Bivariate Association -- Classical Measurement Theory.-Calculating Probability -- Random Variables and Probability Distributions -- Parameter Estimation -- Hypothesis Testing -- Regression Analysis -- Time Series and Indices -- Cluster Analysis -- Factor Analysis. |
| Record Nr. | UNINA-9910349537003321 |
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Cleff Thomas
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Statistics for Business and Management using Microsoft Excel / / by Linda Herkenhoff, John Fogli
| Applied Statistics for Business and Management using Microsoft Excel / / by Linda Herkenhoff, John Fogli |
| Autore | Herkenhoff Linda |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 417 p. 620 illus., 569 illus. in color.) |
| Disciplina | 330.015195 |
| Soggetto topico |
Statistics
Statistics and Computing/Statistics Programs Statistics for Business, Management, Economics, Finance, Insurance Statistics, general |
| ISBN | 1-4614-8423-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Data and Statistics -- Key Concepts -- Discussion -- Common Pitfalls -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 2: Introduction to Excel and Basic Charts -- Key Concepts -- Discussion -- Basic Concepts -- Start Up -- Adding Data Analysis Toolpak -- Excel Elements -- Entering Formulas -- Cell References -- Sorting Data -- Filtering Data -- Getting Excel Help -- Statistical Tools -- Predefined or Built-In Formulas -- Formatting Data -- Chart Wizard -- Formatting of Graphs -- Bar and Column Charts -- Pie Charts -- Line Charts and Area Charts -- Line Graph Example -- Area Chart Example -- Other Charts -- Bubble Chart -- Radar Chart -- PivotTables (Aka Crosstabs) -- Excel -- Common Pitfalls -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 3: Summarizing Data: Descriptive Statistics and Histograms -- Key Concepts -- Discussion -- Symbols -- The Histogram -- Excel -- Descriptive Statistics -- Descriptive Output Results -- Changing the Width of the Column Output -- Using Excel Functions -- Histograms -- Example Problem -- Setting Up the Bin Ranges -- Creating the Histogram Chart -- Histogram Clean Up -- Closing Gaps Between Bars -- Change Labels on x-axis -- Removing More from the Chart and Labeling the Last Column -- Remove Legend -- Axes Labels -- Moving Axes Labels -- Changing the Bar Color -- Changing Chart Title -- Changing Chart Background Fill -- Rotating the y-axis Label from Vertical to Horizontal -- Common Pitfalls -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 4: Normal Distributions.
Key Concepts -- Discussion -- Excel -- Outline placeholder -- 1. Percentile Calculation Problems (NORM.DIST) -- (a) Calculating the area to the left of a value -- What % of the Time Did You Deliver to Less Than () 90 Stores During Last December and January? In Other Words How Much Data Is... -- (b) Calculating the area between 2 values -- What % of the Time Did You Deliver Fire Logs to Between 90 and 120 Stores During Last December and January? -- (c) Calculating the area to the right of a value -- What % of Time Did You Deliver to 130 or More Stores ( \geq ) During Last December and January? In Other Words How Much Da... -- (d) Graphing a normal distribution (Area Graph) -- Step 1 -- Step 2 -- Step 3 -- 2. Converting Percentiles to Measured Units (NORM.INV) -- Calculate the Number of Stores Corresponding with the 99th Percentile -- 3. Converting Measured Units to z-Scores (STANDARDIZE) -- Convert the Measured Value of 135 Stores to a z-Score -- 4. Calculate Rank and Percentile (Rank and Percentile) -- Outline placeholder -- Output -- 5. Non-normal Distributions -- Calculate What Percentage of Rents Fall Between 409 and 573 -- Step 1: Convert the Measured Values to Standard Units -- Step 2: Use Chebyshev Approximation=1-(1/(k)2) where k is the boundary value in standard units -- Common Pitfalls -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 5: Survey Design -- Key Concepts -- Discussion -- Basic Concepts -- Survey Design -- Scale -- Types of Questions -- Single Response/Select -- Multiple Response/Select -- Structured Questions -- Ranking and Rating -- Non-structured (Open-Ended) Questions -- Data -- Labels -- Demographic Data -- Response Rates -- Editing: Data Quality -- Coding -- Errors in Survey Question Creation -- Loaded Questions. Leading Questions -- Double-Barreled Questions -- Errors in Survey Data Collection -- Random Sampling Error -- Systematic Error -- Response Bias -- Checklist -- Excel -- Final Thoughts and Activities -- Practice Problems and Case Studies -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 6: Sampling -- Key Concepts -- Discussion -- Types of Problems -- Mean versus proportion problems require slightly different treatment -- Finite versus infinite population size is another important factor in determining the appropriate sample size -- Rules of thumb -- Excel -- Problem Type: Infinite Mean -- Practice Problem for Infinite Mean -- Problem Type: Infinite Proportion -- Practice Problem for Infinite Proportion -- Finite Population Correction Factor (fpc) -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 7: Inference -- Key Concepts -- Discussion -- Inferring Proportions -- Example Problem -- Excel -- Inferring Averages -- Example Problem -- Excel -- Confidence Intervals with Proportion Inference -- Example Problem -- Excel -- Final Thoughts and Activities -- Practice Problems and Case Studies -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 8: Probability -- Key Concepts -- Discussion -- Example 1 -- Example 2 -- Excel -- Finding Probabilities Using Normal Distributions -- What Is the Probability That a Dealership Will Sell 90 Cars or Less (x90) per Week? -- What Is the Probability That a Car Dealership Will Sell at least 130 (x130) Cars per Week? -- What Is the Probability That a Car Dealership Will Sell Between 90 and 120 Cars per Week? -- Calculating Combinations and Permutations -- Permutation -- Combination -- Finding Probabilities Using the Binomial Distribution. Royal Bank Retention Problem -- Common Excel Pitfalls -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 9: Correlation -- Key Concepts -- Discussion -- Nonlinear data caution -- Average data caution -- Excel -- Correlation: One r Value or Correlation Matrix -- Method 1: Two or More Data Sets (Matrix) -- Method 2: Only 2 Data Sets -- Common Excel Pitfalls -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 10: Simple Linear Regression -- Key Concepts -- Discussion -- Residuals and Tests for Linearity -- Standardized Residuals and Outliers -- Excel -- Scatterplot: Compute the Regression Line and the Coefficient of Determination -- Regression Function: Compute the Regression Model -- Compute Residual Plots Using the Regression Function -- Using Excel´s Regression Tool to Test for Normality of the Distribution of Residuals -- Method 1: Normal Probability Plot -- Method 2: Normal Distribution of Residuals -- Using Excel´s Regression Tool to Test for Constant Variance of Residuals -- Summary of Regression Analysis Process -- Common Excel Pitfalls -- Final Thoughts and Activities -- Practice Problems -- Discussion Boards -- Group Activities -- Parting Thought -- Problem Solutions -- Chapter 11: Significance Tests Part 1 -- Key Concepts -- Discussion -- Basic Concepts -- Choosing the Appropriate Significance Test -- One-Tailed Tests -- Two-Tailed Tests -- Significance Tests -- F-test -- Basic Descriptions of F-Test Applications -- Example 1: One-Way Repeated Measures Using ANOVA -- Example 2: Regression Problems -- Example 3: F-Test for Equality of Two Variances -- Example 4: Between Group ANOVA -- Excel -- Example 1: One-Way Repeated Measures Using ANOVA. Example 2: Regression -- Example 3: Two Sample for Variances -- One-Tailed F-Test for Two Sample for Variances -- Two-Tailed F-Test for Equality of Two Variances -- Example 4: Between Group ANOVA -- One-Tail F-Test Between Group ANOVA -- Two-Tail F-Test Between Group ANOVA -- t-Test -- Basic Descriptions of t-Test Applications -- Example 1: Regression Problems -- Example 2: t-Test for Equality of Means -- Example 3: t-TEST Paired Samples -- Excel -- Example 1: Regression Problems -- Example 2: t-Test for Equality of Means -- One-Tailed Test -- Two-Tailed Test -- Example 3: Before-After Models -- One-Tailed Test -- Two-Tailed Test -- T.TEST -- Common Excel Pitfalls -- Final Thoughts and Activities -- Practice Problems and Case Studies -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 12: Significance Tests Part 2 -- Key Concepts -- Discussion -- Significance Tests -- X2 Test -- Example 1: Goodness-of-Fit Test -- Example 2: Independence of Two Variables -- Excel -- Example 1: Goodness of Fit -- Example 2: Testing Independence -- z-Test -- Excel -- Example 1: Z-Test One Sample Mean Versus a Standard -- One-Tailed Results -- Two-Tailed Results -- Example 2: Testing the Means of Two Populations -- Z.TEST Tool for Comparing a Mean or Proportion with a Standard -- Example Problem -- Common Excel Pitfalls -- Final Thoughts and Activities -- Practice Problems and Case Studies -- Discussion Boards -- Group Activity -- Parting Thought -- Problem Solutions -- Chapter 13: Multiple Regression -- Key Concepts -- Discussion -- Excel -- Step 1: Fit the Model with Selected Independent Variables -- Step 2: Does Multicollinearity Exist? Run a Correlation Matrix -- Step 3: Run Regression Model -- Step 4: Are the Assumptions of Regression Satisfied? -- Step 5: Test Overall Model Significance (F-Test). Step 6: Check p-Values for Independent Variables Meet Significance Criteria (t-Test). |
| Record Nr. | UNINA-9910437878003321 |
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Herkenhoff Linda
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Statistics for Economics and Business / / by Durmuş Özdemir
| Applied Statistics for Economics and Business / / by Durmuş Özdemir |
| Autore | Özdemir Durmuş |
| Edizione | [2nd ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXI, 303 p. 116 illus., 3 illus. in color.) |
| Disciplina | 330.015195 |
| Soggetto topico |
Statistics
Business mathematics Economic theory Statistics for Business, Management, Economics, Finance, Insurance Business Mathematics Economic Theory/Quantitative Economics/Mathematical Methods |
| ISBN | 3-319-26497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- 1.Collecting Data -- 2.Data presentation: Graphs, Frequency Tables and Histograms -- 3.Measures of Location -- 4.Measures of Dispersion -- 5.Index Numbers -- 6.Inequality Indices -- 7.Probability Theory -- 8.Probability Distributions -- 9.Estimation and Confidence Intervals -- 10.Hypothesis Testing -- 11.The χ2, F-Distributions and the ANOVA -- 12.Correlation -- 13.Simple Regression. Chapter 14.Multiple Regression -- 15.The Analysis of Time Series -- Appendix . |
| Record Nr. | UNINA-9910254092603321 |
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Özdemir Durmuş
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Statistics for Social and Management Sciences / / by Abdul Quader Miah
| Applied Statistics for Social and Management Sciences / / by Abdul Quader Miah |
| Autore | Miah Abdul Quader |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XV, 444 p. 73 illus. in color.) |
| Disciplina | 300.15195 |
| Soggetto topico |
Statistics
Statistics for Social Sciences, Humanities, Law Statistics for Business, Management, Economics, Finance, Insurance Statistical Theory and Methods |
| ISBN | 981-10-0401-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1: Basics -- 2: Presentation of Statistical Data -- 3: Descriptive Statistics -- 4: Probability Theory -- 5: Probability Distributions -- 6: Statistical Inference -- 7: Hypothesis Testing -- 8: The Chi-Square Test -- 9: Non-Parametric Test -- 10: Correlation -- 11: Simple Regression -- 12: Multiple Regression -- 13: Sampling Theory -- 14: Determination of Sample Size -- 15: Index Numbers -- 16: Analysis of Financial Data -- 17: Experimental Design -- 18: Statistical Quality Control -- 19: Summary for Hypothesis Testing. |
| Record Nr. | UNINA-9910254081803321 |
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Miah Abdul Quader
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Arbeitsbuch der Angewandten Statistik : Mit Aufgaben zur Software R und detaillierten Lösungen / / von Philipp Otto, Anna-Liesa Lange
| Arbeitsbuch der Angewandten Statistik : Mit Aufgaben zur Software R und detaillierten Lösungen / / von Philipp Otto, Anna-Liesa Lange |
| Autore | Otto Philipp |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Gabler, , 2017 |
| Descrizione fisica | 1 online resource (VIII, 158 S. 4 Abb.) |
| Disciplina | 330.0151 |
| Soggetto topico |
Business mathematics
Statistics Business Mathematics Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN | 3-662-49212-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Deskriptive Statistik -- Wahrscheinlichkeitstheorie -- Induktive Statistik -- Klausurtraining -- Lösungen. |
| Record Nr. | UNINA-9910484049203321 |
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Otto Philipp
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Gabler, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Assessing the Economic Impact of Tourism : A Computable General Equilibrium Modelling Approach / / by Samuel Meng, Mahinda Siriwardana
| Assessing the Economic Impact of Tourism : A Computable General Equilibrium Modelling Approach / / by Samuel Meng, Mahinda Siriwardana |
| Autore | Meng Samuel |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2017 |
| Descrizione fisica | 1 online resource (XVIII, 354 p. 28 illus., 10 illus. in color.) |
| Disciplina | 330.1 |
| Soggetto topico |
Economic theory
Statistics Asia—Economic conditions Economic Theory/Quantitative Economics/Mathematical Methods Statistics for Business, Management, Economics, Finance, Insurance Asian Economics |
| ISBN | 3-319-40328-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. An Introduction to CGE Modelling -- 2. Useful CGE Modelling Packages -- 3. Application of CGE Modelling on Tourism -- 4. Collecting Background Information for a Tourism CGE Model -- 5. Creating a Tourism CGE Model -- 6. Preparing Database for a Tourism CGE Model -- 7. Model Implementation and Testing -- 8. Interpretation of Results from a Tourism CGE Model -- 9. Frontiers of Tourism CGE Modelling. |
| Record Nr. | UNINA-9910155306703321 |
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Meng Samuel
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| Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / / by Masayuki Hirukawa
| Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / / by Masayuki Hirukawa |
| Autore | Hirukawa Masayuki |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XII, 110 p. 5 illus.) |
| Disciplina | 519.5 |
| Collana | JSS Research Series in Statistics |
| Soggetto topico |
Statistics
Statistics for Business, Management, Economics, Finance, Insurance Statistical Theory and Methods Statistics for Social Sciences, Humanities, Law Statistics and Computing/Statistics Programs |
| ISBN | 981-10-5466-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Asymmetric kernels: definition and history -- 2. Density estimation from nonnegative observations -- 3. Regression estimation with nonnegative regressors -- 4. Model specification tests -- 5. Asymmetric kernel smoothing in action: applications in economics and finance. |
| Record Nr. | UNINA-9910300124103321 |
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Hirukawa Masayuki
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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