Business statistics with solutions in R:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2019]
|
Ausgabe: | 1. Auflage |
Schlagworte: | |
Online-Zugang: | http://www.degruyter.com/search?f_0=isbnissn&q_0=9781547417469&searchTitles=true Inhaltsverzeichnis |
Beschreibung: | XII, 263 Seiten Diagramme 23 cm x 15.5 cm |
ISBN: | 9781547417469 1547417463 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV046245421 | ||
003 | DE-604 | ||
005 | 20191205 | ||
007 | t | ||
008 | 191108s2019 |||| |||| 00||| eng d | ||
015 | |a 18,N40 |2 dnb | ||
016 | 7 | |a 1167795490 |2 DE-101 | |
020 | |a 9781547417469 |c : EUR 29.99 (DE) (freier Preis), EUR 29.99 (AT) (freier Preis) |9 978-1-5474-1746-9 | ||
020 | |a 1547417463 |9 1547417463 | ||
024 | 3 | |a 9781547417469 | |
035 | |a (OCoLC)1127309237 | ||
035 | |a (DE-599)DNB1167795490 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-1050 |a DE-1043 | ||
084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
084 | |a 330 |2 sdnb | ||
100 | 1 | |a Akinkunmi, Mustapha A. |e Verfasser |0 (DE-588)1196805350 |4 aut | |
245 | 1 | 0 | |a Business statistics with solutions in R |c Mustapha Abiodun Akinkunmi |
250 | |a 1. Auflage | ||
264 | 1 | |a Berlin ; Boston |b De Gruyter |c [2019] | |
300 | |a XII, 263 Seiten |b Diagramme |c 23 cm x 15.5 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 0 | 7 | |a Wirtschaftsstatistik |0 (DE-588)4066517-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Ökonometrie |0 (DE-588)4132280-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
653 | |a BUS021000 BUSINESS & ECONOMICS / Econometrics | ||
653 | |a BUS091000 BUSINESS & ECONOMICS / Business Mathematics | ||
653 | |a MAT029000 MATHEMATICS / Probability & Statistics / General | ||
653 | |a Econometrics | ||
653 | |a Economic statistics | ||
653 | |a Business mathematics & systems | ||
653 | |a Probability, Sampling Distributions, Confidence interval, Regression, Hypothesis testing, Time series, Expected value, Correlation | ||
653 | |a Taschenbuch / Sachbücher/Politik, Gesellschaft, Wirtschaft/Betriebswirtschaft, Unternehmen | ||
689 | 0 | 0 | |a Wirtschaftsstatistik |0 (DE-588)4066517-3 |D s |
689 | 0 | 1 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Wirtschaftsstatistik |0 (DE-588)4066517-3 |D s |
689 | 1 | 1 | |a Ökonometrie |0 (DE-588)4132280-0 |D s |
689 | 1 | 2 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
689 | 1 | |5 DE-604 | |
710 | 2 | |a Walter de Gruyter Inc. |0 (DE-588)2036938-4 |4 pbl | |
856 | 4 | 2 | |m X:MVB |u http://www.degruyter.com/search?f_0=isbnissn&q_0=9781547417469&searchTitles=true |
856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031623754&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-031623754 |
Datensatz im Suchindex
_version_ | 1804180667349598208 |
---|---|
adam_text | CONTENTS
1
INTRODUCTION
TO
STATISTICAL
ANALYSIS
*
1
1.1
SCALES
OF
MEASUREMENT
*
2
1.2
DATA,
DATA
COLLECTION,
AND
DATA
PRESENTATION
*
3
1.3
DATA
GROUPINGS
*
5
1.3.1
CATEGORIES
OF
DATA
GROUPINGS
*
5
1.3.2
CALCULATION
OF
CLASS
INTERVAL
FOR
UNGROUPED
DATA
*
7
1.3.3
CLASS
LIMITS
AND
CLASS
BOUNDARIES
*
8
1.4
METHODS
OF
VISUALIZING
DATA
*
9
1.5
EXPLORING
DATA
ANALYSIS
(EDA)
*
12
1.5.1
STEM-AND-LEAF
DISPLAYS
*
13
1.5.2
BOX
PLOTS
*
13
1.5.2.1
IMPORTANCE
OF
BOX
PLOTS
*
14
EXERCISES
FOR
CHAPTER
1
*
14
2
INTRODUCTION
TO
R
SOFTWARE
*
16
2.1
HOW
TO
DOWNLOAD
AND
INSTALL
R
*
17
2.2
USING
R
FOR
DESCRIPTIVE
STATISTICAL
ANALYSIS
AND
PLOTS
*
17
2.3
BASICS
OF
R
*
18
2.3.1
R
IS
VECTORIZED
*
18
2.3.2
R
DATA
TYPES
*
22
2.3.2.1
SCALARS
*
22
2.3.2.2
VECTORS
*
23
2.3.2.3
MATRICES
-----
24
2.3.2.4
DATA
FRAMES
*
25
2.3.2.5
LISTS
------
26
2.3.2.6
FACTORS
*
27
2.3.2.7
COERCIONS
------
28
2.3.2.8
DATE
AND
TIME
*
28
2.3.3
MISSING
VALUES
*
30
2.3.4
DATA
CREATION
*
31
2.3.5
DATA
TYPE
CONVERSION
*
37
2.3.6
VARIABLE
INFORMATION
*
38
2.4
BASIC
OPERATIONS
IN
R
*
38
2.4.1
SUBSETTING
*
39
2.4.2
CONTROL
STRUCTURES
*
41
2.4.2.1
CONDITIONAL
-----
41
2.4.2.2
FOR
LOOP
------
41
2.4.2.3
REPEAT
LOOP
*
42
VIII
*
CONTENTS
2.4.2.4
WHILE
LOOP
*
43
2.4.3
BUILT-IN
FUNCTIONS
IN
R
*
44
2.4.3.1
NUMERICAL
FUNCTIONS
*
44
2.4.3.2
CHARACTER
FUNCTIONS
*
45
2.43.3
STATISTICAL
PROBABILITY
FUNCTIONS
*
45
2.43.4
OTHER
STATISTICAL
FUNCTIONS
*
45
2.43.5
OTHER
USEFUL
FUNCTIONS
*
45
2.4.4
USER-WRITTEN
FUNCTIONS
*
46
2.4.5
IMPORTING,
REPORTING,
AND
WRITING
DATA
*
49
2.4.5.1
PACKAGES
*
49
2.43.2
WORKING
DIRECTORY
AND
R
SCRIPT
*
49
2.4.53
READING
AND
WRITING
LOCAL
FLAT
FILES
*
49
2.43.4
READING
AND
WRITING
EXCEL
FILES
*
51
2.4.53
CONNECTION
INTERFACES
*
52
2.43.6
CONNECT
TO
A
DATABASE
*
52
2.5
DATA
EXPLORATION
*
53
2.5.1
DATA
EXPLORATION
THROUGH
VISUALIZATION
*
54
23.1.1
BARCHART
-----
54
23.1.2
PIE
CHART
*
55
2.5.13
BOX-PLOT
DISTRIBUTIONS
-----
56
EXERCISES
FOR
CHAPTER
2
*
57
3
DESCRIPTIVE
STATISTICS
*
58
3.1
CENTRAL
TENDENCY
*
58
3.1.1
THE
MEAN
-----
58
3.1.2
THE
MEDIAN
-----
59
3.1.3
THE
MODE
-----
60
3.2
MEASURE
OF
DISPERSION
*
61
3.3
SHAPES
OF
THE
DISTRIBUTION
*
SYMMETRIC
AND
ASYMMETRIC
33.1
SKEWNESS
ILLUSTRATED
*
64
3.3.2
KURTOSIS
------
64
EXERCISES
FOR
CHAPTER
3
*
66
4
BASIC
PROBABILITY
CONCEPTS
*
67
4.1
EXPERIMENT,
OUTCOME,
AND
SAMPLE
SPACE
*
67
4.1.1
EXPERIMENT
*
67
4.1.2
OUTCOME
-----67
4.1.3
SAMPLE
SPACE
*
67
4.2
ELEMENTARY
EVENTS
*
68
4.3
COMPLEMENTARY
EVENTS
*
68
63
CONTENTS
*
IX
4.4
4.5
4.6
4.7
4.7.1
4.8
4.9
4.10
4.11
4.12
4.13
5
5.1
5.2
5.3
5.4
5.4.1
5.4.2
5.5
5.5.1
5.5.2
6
6.1
6.1.1
6.2
6.3
6.4
7
7.1
7.1.1
MUTUALLY
EXCLUSIVE
EVENTS
*
68
MUTUALLY
INCLUSIVE
EVENTS
*
69
VENN
DIAGRAMS
*
69
PROBABILITY
*
70
SIMULATION
OF
A
RANDOM
SAMPLE
IN
R
*
71
AXIOMS
OF
PROBABILITY
*
73
BASIC
PROPERTIES
OF
PROBABILITY
*
74
INDEPENDENT
EVENTS
AND
DEPENDENT
EVENTS
*
74
MULTIPLICATION
RULE
OF
PROBABILITY
*
76
CONDITIONAL
PROBABILITIES
*
76
COMPUTATION
OF
PROBABILITY
IN
R
*
77
EXERCISES
FOR
CHAPTER
4
*
80
DISCRETE
PROBABILITY
DISTRIBUTIONS
*
82
PROBABILITY
MASS
DISTRIBUTION
*
82
EXPECTED
VALUE
AND
VARIANCE
OF
A
DISCRETE
RANDOM
VARIABLE
*
83
BINOMIAL
PROBABILITY
DISTRIBUTION
*
86
EXPECTED
VALUE
AND
VARIANCE
OF
A
BINOMIAL
DISTRIBUTION
*
87
EXPECTED
VALUE
(MEAN)
OF
A
BINOMIAL
DISTRIBUTION
*
88
VARIANCE
OF
A
BINOMIAL
DISTRIBUTION
*
89
SOLVE
PROBLEMS
INVOLVING
BINOMIAL
DISTRIBUTION
USING
R
*
92
GENERATING
A
RANDOM
SAMPLE
FROM
A
BINOMIAL
DISTRIBUTION
*
92
CALCULATE
PROBABILITY
FROM
A
BINOMIAL
DISTRIBUTION
*
94
EXERCISES
FOR
CHAPTER
5
*
96
CONTINUOUS
PROBABILITY
DISTRIBUTIONS
*
97
NORMAL
DISTRIBUTION
AND
STANDARDIZED
NORMAL
DISTRIBUTION
*
98
PROPERTIES
OF
A
NORMAL
DISTRIBUTION
*
99
STANDARD
NORMAL
SCORE
(Z-SCORE)
*
100
APPROXIMATE
NORMAL
DISTRIBUTION
TO
THE
BINOMIAL
*
103
USE
OF
THE
NORMAL
DISTRIBUTION
IN
BUSINESS
PROBLEM
SOLVING
USING
R
-----
104
EXERCISES
FOR
CHAPTER
6
*
105
OTHER
CONTINUOUS
PROBABILITY
DISTRIBUTIONS
*
107
STUDENT
*
S
T-DISTRIBUTION
*
107
PROPERTIES
OF
THE
STUDENT
*
S
T-DISTRIBUTION
*
110
X
CONTENTS
EXERCISES
FOR
CHAPTER
7
*
121
7.1.2
7.2
7.2.1
7.2.2
7.3
7.3.1
7.3.2
R
CODE
TO
OBTAIN
T-VALUES
USING
EXAMPLE
7.1
*
111
CHI-SQUARE
DISTRIBUTION
*
112
PROPERTIES
OF
THE
CHI-SQUARE
DISTRIBUTION
*
115
USES
OF
THE
CHI-SQUARE
DISTRIBUTION
*
116
^-DISTRIBUTION
*
118
PROPERTIES
OF
THE
F-DISTRIBUTION
*
118
USES
OF
THE
F-DISTRIBUTION
*
119
8
SAMPLING
AND
SAMPLING
DISTRIBUTION
*
122
8.1
PROBABILITY
AND
NON-PROBABILITY
SAMPLING
*
122
8.2
PROBABILITY
SAMPLING
TECHNIQUES
*
SIMPLE
RANDOM,
SYSTEMATIC,
CLUSTER,
AND
STRATIFIED
*
123
8.2.1
SIMPLE
RANDOM
SAMPLING
(SRS)
*
123
8.2.2
SYSTEMATIC
SAMPLING
*
127
8.2.2.1
ADVANTAGES
OF
SYSTEMATIC
SAMPLING
*
127
5.2.2.2
DISADVANTAGES
OF
SYSTEMATIC
SAMPLING
*
127
8.2.3
CLUSTER
SAMPLING
*
127
8.2.3.1
ADVANTAGES
OF
CLUSTER
SAMPLING
*
128
5.2.3.2
DISADVANTAGES
OF
CLUSTER
SAMPLING
*
128
8.2.4
STRATIFIED
RANDOM
SAMPLING
*
128
8.2.4.1
ADVANTAGES
OF
STRATIFIED
RANDOM
SAMPLING
*
129
8.2.4.2
DISADVANTAGES
OF
STRATIFIED
RANDOM
SAMPLING
*
129
8.3
NON-PROBABILITY
SAMPLING
TECHNIQUES
*
JUDGMENT,
QUOTA,
AND
CONVENIENCE
*
129
8.3.1 JUDGMENT
SAMPLING
*
129
8.3.1.1
ADVANTAGES
OF
JUDGMENT
SAMPLING
*
130
8.3.1.2
DISADVANTAGES
OF
JUDGMENT
SAMPLING
*
130
8.3.2
QUOTA
SAMPLING
*
130
8.3.2.1
ADVANTAGES
OF
QUOTA
SAMPLING
*
130
5.3.2.2
DISADVANTAGES
OF
QUOTA
SAMPLING
*
130
8.3.3
CONVENIENCE
SAMPLING
*
131
8.3.3.1
ADVANTAGES
OF
CONVENIENCE
SAMPLING
*
131
8.3.3.2
DISADVANTAGES
OF
CONVENIENCE
SAMPLING
*
131
8.4
SAMPLING
DISTRIBUTION
OF
THE
MEAN
*
131
8.5
CENTRAL
LIMIT
THEOREM
AND
ITS
SIGNIFICANCE
*
134
EXERCISES
FOR
CHAPTER
8
*
137
CONTENTS
XI
9
9.1
9.2
9.3
9.4
9.5
10
10.1
10.2
10.3
10.4
11
11.1
11.2
11.2.1
11.3
11.3.1
11.4
11.4.1
11.4.2
11.5
11.5.1
11.5.2
11.5.3
11.5.4
12
12.1
12.2
12.2.1
12.2.2
12.3
CONFIDENCE
INTERVALS
FOR
SINGLE
POPULATION
MEAN
AND
PROPORTION
*
138
POINT
ESTIMATES
AND
INTERVAL
ESTIMATES
*
138
CONFIDENCE
INTERVALS
FOR
MEAN
*
139
CONFIDENCE
INTERVALS
FOR
PROPORTION
*
142
CALCULATING
THE
SAMPLE
SIZE
*
143
FACTORS
THAT
DETERMINE
MARGIN
OF
ERROR
*
145
EXERCISES
FOR
CHAPTER
9
*
146
HYPOTHESIS
TESTING
FOR
SINGLE
POPULATION
MEAN
AND
PROPORTION
*
147
NULL
AND
ALTERNATIVE
HYPOTHESES
*
147
TYPE
I
AND
TYPE
II
ERROR
*
147
ACCEPTANCE
AND
REJECTION
REGIONS
*
148
HYPOTHESIS
TESTING
PROCEDURES
*
148
EXERCISES
FOR
CHAPTER
10
*
154
REGRESSION
ANALYSIS
AND
CORRELATION
ANALYSIS
*
157
CONSTRUCTION
OF
LINE
FIT
PLOTS
*
157
TYPES
OF
REGRESSION
ANALYSIS
*
157
USES
OF
REGRESSION
ANALYSIS
*
158
SIMPLE
LINEAR
REGRESSION
*
158
ASSUMPTIONS
OF
SIMPLE
LINEAR
REGRESSION
*
160
MULTIPLE
LINEAR
REGRESSION
*
164
SIGNIFICANCE
TESTING
OF
EACH
VARIABLE
*
168
INTERPRETATION
OF
REGRESSION
COEFFICIENTS
AND
OTHER
OUTPUT
*
168
PEARSON
CORRELATION
COEFFICIENT
*
171
ASSUMPTIONS
OF
CORRELATION
TEST
*
172
TYPES
OF
CORRELATION
*
172
COEFFICIENT
OF
DETERMINATION
*
172
TEST
FOR
THE
SIGNIFICANCE
OF
CORRELATION
COEFFICIENT
(R)
*
173
EXERCISES
FOR
CHAPTER
11
*
175
POISSON
DISTRIBUTION
*
179
POISSON
DISTRIBUTION
AND
ITS
PROPERTIES
*
179
MEAN
AND
VARIANCE
OF
A
POISSON
DISTRIBUTION
*
180
MEAN
*
181
VARIANCE
*
182
APPLICATION
OF
THE
POISSON
DISTRIBUTION
*
187
XII
CONTENTS
12.4
POISSON
TO
APPROXIMATE
THE
BINOMIAL
*
188
EXERCISES
FOR
CHAPTER
12
*
191
13
UNIFORM
DISTRIBUTIONS
*
193
13.1
UNIFORM
DISTRIBUTION
AND
ITS
PROPERTIES
*
193
13.2
MEAN
AND
VARIANCE
OF
A
UNIFORM
DISTRIBUTION
*
193
13.2.1
MEAN
*
194
13.2.2
VARIANCE
*
194
EXERCISES
FOR
CHAPTER
13
*
200
14
TIME
SERIES
ANALYSIS
*
202
14.1
CONCEPT
OF
TIME
SERIES
DATA
*
202
14.1.1
USES
AND
APPLICATION
OF
TIME
SERIES
ANALYSIS
*
202
14.1.1.1
TIME
DOMAIN
APPROACH
*
203
14.1.1.2
FREQUENCY
DOMAIN
APPROACH
*
204
14.2
UNIVARIATE
TIME
SERIES
MODEL
*
204
14.2.1
GENERATING
A
TIME-SERIES
OBJECT
IN
R
*
207
14.2.2
SMOOTHING
AND
SEASONAL
DECOMPOSITION
*
208
14.2.2.1
SMOOTHING
WITH
SIMPLE
MOVING
AVERAGES
*
208
14.2.2.2
SEASONAL
DECOMPOSITION
*
211
14.2.2.3
EXPONENTIAL
FORECASTING
MODELS
*
217
14.2.2.4
SIMPLE
EXPONENTIAL
SMOOTHING
*
218
14.2.2.5
HOLT
AND
HOLT-WINTERS
EXPONENTIAL
SMOOTHING
*
222
14.2.2.6
THE
ETS()
FUNCTION
AND
AUTOMATED
FORECASTING
*
224
14.2.2.7
AUTOREGRESSIVE
INTEGRATED
MOVING
AVERAGE
(ARIMA)
FORECASTING
MODELS
*
226
14.3
MULTIVARIATE
TIME
SERIES
MODELS
*
230
14.3.1
ARMA
AND
ARIMA
MODELS
-----
230
14.3.2
AUTOMATED
ARIMA
PREDICTIONS
*
237
EXERCISES
FOR
CHAPTER
14
*
238
APPENDIX
*
240
INDEX
*
261
|
any_adam_object | 1 |
author | Akinkunmi, Mustapha A. |
author_GND | (DE-588)1196805350 |
author_facet | Akinkunmi, Mustapha A. |
author_role | aut |
author_sort | Akinkunmi, Mustapha A. |
author_variant | m a a ma maa |
building | Verbundindex |
bvnumber | BV046245421 |
classification_rvk | ST 601 |
ctrlnum | (OCoLC)1127309237 (DE-599)DNB1167795490 |
discipline | Informatik Wirtschaftswissenschaften |
edition | 1. Auflage |
format | Book |
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id | DE-604.BV046245421 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:39:24Z |
institution | BVB |
institution_GND | (DE-588)2036938-4 |
isbn | 9781547417469 1547417463 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031623754 |
oclc_num | 1127309237 |
open_access_boolean | |
owner | DE-1050 DE-1043 |
owner_facet | DE-1050 DE-1043 |
physical | XII, 263 Seiten Diagramme 23 cm x 15.5 cm |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | De Gruyter |
record_format | marc |
spelling | Akinkunmi, Mustapha A. Verfasser (DE-588)1196805350 aut Business statistics with solutions in R Mustapha Abiodun Akinkunmi 1. Auflage Berlin ; Boston De Gruyter [2019] XII, 263 Seiten Diagramme 23 cm x 15.5 cm txt rdacontent n rdamedia nc rdacarrier Wirtschaftsstatistik (DE-588)4066517-3 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf BUS021000 BUSINESS & ECONOMICS / Econometrics BUS091000 BUSINESS & ECONOMICS / Business Mathematics MAT029000 MATHEMATICS / Probability & Statistics / General Econometrics Economic statistics Business mathematics & systems Probability, Sampling Distributions, Confidence interval, Regression, Hypothesis testing, Time series, Expected value, Correlation Taschenbuch / Sachbücher/Politik, Gesellschaft, Wirtschaft/Betriebswirtschaft, Unternehmen Wirtschaftsstatistik (DE-588)4066517-3 s R Programm (DE-588)4705956-4 s DE-604 Ökonometrie (DE-588)4132280-0 s Walter de Gruyter Inc. (DE-588)2036938-4 pbl X:MVB http://www.degruyter.com/search?f_0=isbnissn&q_0=9781547417469&searchTitles=true DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031623754&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Akinkunmi, Mustapha A. Business statistics with solutions in R Wirtschaftsstatistik (DE-588)4066517-3 gnd Ökonometrie (DE-588)4132280-0 gnd R Programm (DE-588)4705956-4 gnd |
subject_GND | (DE-588)4066517-3 (DE-588)4132280-0 (DE-588)4705956-4 |
title | Business statistics with solutions in R |
title_auth | Business statistics with solutions in R |
title_exact_search | Business statistics with solutions in R |
title_full | Business statistics with solutions in R Mustapha Abiodun Akinkunmi |
title_fullStr | Business statistics with solutions in R Mustapha Abiodun Akinkunmi |
title_full_unstemmed | Business statistics with solutions in R Mustapha Abiodun Akinkunmi |
title_short | Business statistics with solutions in R |
title_sort | business statistics with solutions in r |
topic | Wirtschaftsstatistik (DE-588)4066517-3 gnd Ökonometrie (DE-588)4132280-0 gnd R Programm (DE-588)4705956-4 gnd |
topic_facet | Wirtschaftsstatistik Ökonometrie R Programm |
url | http://www.degruyter.com/search?f_0=isbnissn&q_0=9781547417469&searchTitles=true http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031623754&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT akinkunmimustaphaa businessstatisticswithsolutionsinr AT walterdegruyterinc businessstatisticswithsolutionsinr |