Relevant bibliographies by topics / Statistica bivariata / Books

Books on the topic 'Statistica bivariata'

To see the other types of publications on this topic, follow the link: Statistica bivariata.
Author: Grafiati
Published: 10 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 books for your research on the topic 'Statistica bivariata.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Haung, Xin. Statistics of bivariate extreme values. Amsterdam: Thesis Publishers, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Diekhoff, George. Statistics for the social and behavioral sciences: Univariate, bivariate, multivariate. Dubuque, IA: Wm. C. Brown Publishers, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Diekhoff, George. Statistics for the social and behavioral sciences: Univariate, bivariate, and multivariate. IA: Wm. C. Brown, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

K, Kocherlakota, ed. Bivariate discrete distributions. New York: M. Dekker, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Jacoby, William. Statistical Graphics for Univariate and Bivariate Data. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications Inc., 1997. http://dx.doi.org/10.4135/9781412985963.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Applied statistics: From bivariate through multivariate techniques. Los Angeles: SAGE Publications, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Applied statistics: From bivariate through multivariate techniques. 2nd ed. Thousand Oaks: SAGE Publications, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Jacoby, William G. Statistical graphics for univariate and bivariate data. Thousand Oaks, Calif: Sage Publications, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

D, Lai C., ed. Continuous bivariate distributions, emphasising applications. Adelaide, South Australia: Rumsby Scientific Publishing, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Statistical fundamentals: Using Microsoft Excel for univariate and bivariate analysis. Chesapeake: Watertree Press, 2016.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
11

Denis, Daniel J. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119465775.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

Moskowitz, Herbert. A polynomial approximation for bivariate normal probabilities. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
13

Peters, Dawn. A bivariate signed-rank test for the two-sample location problem. Corvallis, Or: Dept. of Statistics, Oregon State University, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
14

Peters, Dawn. A bivariate signed-rank test for the two-sample location problem. Corvallis, Or: Dept. of Statistics, Oregon State University, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
15

Czaplewski, Raymond L. Expected value and variance of Moran's bivariate spatial autocorrelation statistic for a permutation test. Fort Collins, Colo. (240 W. Prospect Rd., Fort Collins 80526): U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
16

Tanabe, Kunio. BNDE, FORTRAN subroutines for computing Bayesian nonparametric univariate and bivariate density estimator. Tokyo: Institute of Statistical Mathematics, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
17

Koeppl, James W. Robust statistics for spatial analysis: The bivariate normal home range model applied to syntopic populations of two species of ground squirrels. Lawrence, Kan: Museum of Natural History, the University of Kansas, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
18

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
19

Applied Statistics I: Basic Bivariate Techniques. SAGE Publications, Incorporated, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
20

Applied Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Limited, John, 2016.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
21

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
22

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
23

Tran, Thanh V., and Keith T. Chan. Applied Cross-Cultural Data Analysis for Social Work. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190888510.001.0001.

Full text
Abstract:
Applied Cross-Cultural Data Analysis for Social Work is a research guide which provides a hands-on approach for learning and understanding data analysis techniques for examining and interpreting data for the purpose of cultural group comparisons. This book aims to provide practical applications in statistical approaches of data analyses that are commonly used in cross-cultural research and evaluation. Readers are presented with step-by-step illustrations in the use of descriptive, bivariate, and multivariate statistics to compare cross-cultural populations using large-scale, population-based survey data. These techniques have important applications in health, mental health, and social science research relevant to social work and other helping professions, especially in providing a framework of evidence to examine health disparities using population-health data. For each statistical approach discussed in this book, we explain the underlying purpose, basic assumptions, types of variables, application of the Stata statistical package, the presentation of statistical findings, and the interpretation of results. Unlike previous guides on statistical approaches and data analysis in social work, this book explains and demonstrates the strategies of cross-cultural data analysis using descriptive and bivariate analysis, multiple regression, additive and multiplicative interaction, mediation, and SEM and HLM for subgroup analysis and cross-cultural comparisons. This book also includes sample syntax from Stata for social work researchers to conduct cross-cultural analysis with their own research.
APA, Harvard, Vancouver, ISO, and other styles
24

Warner, Rebecca M. Applied Statistics: From Bivariate Through Multivariate Techniques. SAGE Publications, Incorporated, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
25

Warner, Rebecca M. Applied Statistics: From Bivariate Through Multivariate Techniques. Sage Publications, Inc, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
26

Jacoby, William G. Statistical Graphics for Univariate and Bivariate Data. SAGE Publications, Incorporated, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
27

Micros in Mathematical Education (Mime): Statistics Bivariate Data. John Wiley and Sons Ltd, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
28

Sims, Randi L. Bivariate Data Analysis: A Practical Guide. Nova Science Publishers, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
29

Applied Statistics I - International Student Edition: Basic Bivariate Techniques. SAGE Publications, Incorporated, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
30

Xin, H. Statistics of Bivariate Extreme Values (Tinbergen Institute Research Series). Thesis Pub, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
31

Denis, Daniel J. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
32

Denis, Daniel J. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
33

Denis, Daniel J. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Limited, John, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
34

Rasco, Danney. R Companion for Applied Statistics I: Basic Bivariate Techniques. SAGE Publications, Incorporated, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
35

SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
36

Rovai, Alfred P. Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis. Watertree Press, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
37

Halperin, Sandra, and Oliver Heath. 16. Patterns of Association. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0016.

Full text
Abstract:
This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particular emphasis on hypothesis testing and significance tests. It discusses ordinary least squares (OLS) regression and cross-tabulation, two of the most widely used statistical analysis techniques in political research. Finally, it explains how to state the null hypothesis, calculate the chi square, and establishing the correlation between the dependent and independent variables.
APA, Harvard, Vancouver, ISO, and other styles
38

Diekhoff, George M. Statistics for the Social and Behavioral Science: Univariate, Bivariate, and Multivariate. William C Brown Pub, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
39

Grade dependence in bivariate mixed data. A uniform approach based on concentration curves. Warszawa: Instytut Podstaw Informatyki Polskiej Akademii Nauk, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
40

Expected value and variance of Moran's bivariate spatial autocorrelation statistic for a permutation test. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
41

Peters, Dawn. Rank tests for the one- and two-sample bivariate location problems. 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
42

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R. Wiley & Sons, Limited, John, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
43

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R. Wiley & Sons, Incorporated, John, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
44

Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R. Wiley & Sons, Incorporated, John, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
45

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R. Wiley & Sons, Incorporated, John, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
46

Czaplewski, R. L. Expected value and variance of Moran's bivariate spatial autocorrelation statistic for a permutation test. 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
47

Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis. Wiley & Sons, Incorporated, John, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
48

Denis, Daniel J. Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science. Wiley & Sons, Limited, John, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
49

Denis, Daniel J. Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science. Wiley & Sons, Limited, John, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
50

Denis, Daniel J. Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science. Wiley & Sons, Incorporated, John, 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Statistica bivariata' for other source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography