Statistical tools for nonlinear regression: a practical guide with S-PLUS and R examples
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
New York ; Berlin ; Heidelberg ; Barcelona ; Budapest ; Hong Kong ; London ; Milan ; Paris ; Santa Clara ; Singapore ; Tokyo
Springer
2003
|
Ausgabe: | 2. ed. |
Schriftenreihe: | Springer series in statistics
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XIV, 232 S. graph. Darst. 25 cm |
ISBN: | 0387400818 |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV023529260 | ||
003 | DE-604 | ||
005 | 20070511000000.0 | ||
007 | t | ||
008 | 030828s2003 xxud||| |||| 00||| eng d | ||
015 | |a 96,A43,0840 |2 dnb | ||
016 | 7 | |a 948566833 |2 DE-101 | |
020 | |a 0387400818 |c Pp. : DM 65.00 |9 0-387-40081-8 | ||
035 | |a (OCoLC)890356525 | ||
035 | |a (DE-599)BVBBV023529260 | ||
040 | |a DE-604 |b ger | ||
041 | 0 | |a eng | |
044 | |a xxu |c XD-US | ||
049 | |a DE-521 | ||
050 | 0 | |a QA278.2.H84 2004 | |
082 | 0 | |a 519.5/36 21 | |
084 | |a SK 840 |0 (DE-625)143261: |2 rvk | ||
084 | |a 27 |2 sdnb | ||
084 | |a 32 |2 sdnb | ||
084 | |a 30 |2 sdnb | ||
084 | |a 15 |2 sdnb | ||
084 | |a 39 |2 sdnb | ||
245 | 1 | 0 | |a Statistical tools for nonlinear regression |b a practical guide with S-PLUS and R examples |c Sylvie Huet ... |
250 | |a 2. ed. | ||
264 | 1 | |a New York ; Berlin ; Heidelberg ; Barcelona ; Budapest ; Hong Kong ; London ; Milan ; Paris ; Santa Clara ; Singapore ; Tokyo |b Springer |c 2003 | |
300 | |a XIV, 232 S. |b graph. Darst. |c 25 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Springer series in statistics | |
650 | 4 | |a Regression analysis | |
650 | 4 | |a Nonlinear theories | |
650 | 4 | |a Parameter estimation | |
650 | 0 | 7 | |a S-PLUS |0 (DE-588)4321162-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Programm |0 (DE-588)4047394-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Nichtlineare Regression |0 (DE-588)4251077-6 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Nichtlineare Regression |0 (DE-588)4251077-6 |D s |
689 | 0 | 1 | |a S-PLUS |0 (DE-588)4321162-8 |D s |
689 | 0 | 2 | |a Programm |0 (DE-588)4047394-6 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Huet, Sylvie |e Sonstige |4 oth | |
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=016849459&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-016849459 |
Datensatz im Suchindex
_version_ | 1804138174224531456 |
---|---|
adam_txt |
CONTENTS
1
NONLINEAR
REGRESSION
MODEL
AND
PARAMETER
ESTIMATION
1
1.1
EXAMPLES
.
1
1.1.1
PASTURE
REGROWTH:
ESTIMATING
A
GROWTH
CURVE
.
1
1.1.2
RADIOIMMUNOLOGICAL
ASSAY
OF
CORTISOL:
ESTIMATING
A
CALIBRATION
CURVE
.
3
1.1.3
ANTIBODIES
ANTICORONAVIRUS
ASSAYED
BY
AN
ELISA
TEST:
COMPARING
SEVERAL
RESPONSE
CURVES
.
6
1.1.4
COMPARISON
OF
IMMATURE
AND
MATURE
GOAT
OVOCYTES;
COMPARING
PARAMETERS
.
8
1.1.5
ISOMERIZATION:
MORE
THAN
ONE
INDEPENDENT
VARIABLE
.
9
1.2
THE
PARAMETRIC
NONLINEAR
REGRESSION
MODEL
.
12
1.3
ESTIMATION
.
.
12
1.4
APPLICATIONS
.
13
1.4.1
PASTURE
REGROWTH:
PARAMETER
ESTIMATION
AND
GRAPH
OF
OBSERVED
AND
ADJUSTED
RESPONSE
VALUES
.
13
1.4.2
CORTISOL
ASSAY:
PARAMETER
ESTIMATION
AND
GRAPH
OF
OBSERVED
AND
ADJUSTED
RESPONSE
VALUES
.
14
1.4.3
ELISA
TEST:
PARAMETER
ESTIMATION
AND
GRAPH
OF
OB
SERVED
AND
ADJUSTED
CURVES
FOR
MAY
AND
JUNE
.
15
1.4.4
OVOCYTES:
PARAMETER
ESTIMATION
AND
GRAPH
OF
OB
SERVED
AND
ADJUSTED
VOLUME
OF
MATURE
AND
IMMATURE
OVOCYTES
IN
PROPANE-DIOL
.
16
1.4.5
ISOMERIZATION:
PARAMETER
ESTIMATION
AND
GRAPH
OF
AD
JUSTED
VERSUS
OBSERVED
VALUES
.
17
VIII
CONTENTS
1.5
CONCLUSION
AND
REFERENCES
.
18
1.6
USING
NLS2
.
19
2
ACCURACY
OF
ESTIMATORS,
CONFIDENCE
INTERVALS
AND
TESTS
29
2.1
EXAMPLES
.
29
2.2
PROBLEM
FORMULATION
.
30
2.3
SOLUTIONS
.
31
2.3.1
CLASSICAL
ASYMPTOTIC
RESULTS
.
31
2.3.2
ASYMPTOTIC
CONFIDENCE
INTERVALS
FOR
A
.
32
2.3.3
ASYMPTOTIC
TESTS
OF
"
A
=
AO
"
AGAINST
"
A
AO
"
.
33
2.3.4
ASYMPTOTIC
TESTS
OF
"
A0
=
L
Q
"
AGAINST
"
A0
L
O
"
.
34
2.3.5
BOOTSTRAP
ESTIMATIONS
.
35
2.4
APPLICATIONS
.
-
.
38
2.4.1
PASTURE
REGROWTH:
CALCULATION
OF
A
CONFIDENCE
INTERVAL
FOR
THE
MAXIMUM
YIELD
.
38
2.4.2
CORTISOL
ASSAY^ESTIMATION
OF
THE
ACCURACY
OF
THE
ES
TIMATED
DOSE
D
.
40
2.4.3
ELISA
TEST:
COMPARISON
OF
CURVES
.
40
2.4.4
OVOCYTES:
CALCULATION
OF
CONFIDENCE
REGIONS
.
43
2.4.5
ISOMERIZATION:
AN
AWKWARD
EXAMPLE
.
44
2.4.6
PASTURE
REGROWTH:
CALCULATION
OF
A
CONFIDENCE
INTERVAL
FOR
A
=
EXP
63
.
48
2.5
CONCLUSION
.
49
2.6
USING
NLS2
.
49
3
VARIANCE
ESTIMATION
61
3.1
EXAMPLES
.
62
3.1.1
GROWTH
OF
WINTER
WHEAT
TILLERS:
FEW
REPLICATIONS
.
62
3.1.2
SOLUBILITY
OF
PEPTIDES
IN
TRICHLOACETIC
ACID
SOLUTIONS:
NO
REPLICATIONS
.
63
3.2
PARAMETRIC
MODELING
OF
THE
VARIANCE
.
65
3.3
ESTIMATION
.
66
3.3.1
MAXIMUM
LIKELIHOOD
.
66
3.3.2
THREE-STEP
ALTERNATE
MEAN
SQUARES
.
67
3.4
TESTS
AND
CONFIDENCE
REGIONS
.
68
3.4.1
THE
WALD
TEST
.
68
3.4.2
THE
LIKELIHOOD
RATIO
TEST
.
69
3.4.3
LINKS
BETWEEN
TESTING
PROCEDURES
AND
CONFIDENCE
RE
GION
COMPUTATIONS
.
70
3.4.4
CONFIDENCE
REGIONS
.
71
3.5
APPLICATIONS
.
72
3.5.1
GROWTH
OF
WINTER
WHEAT
TILLERS
.
72
3.5.2
SOLUBILITY
OF
PEPTIDES
IN
TRICHLOACETIC
ACID
SOLUTIONS
.
76
3.6
USING
NLS2
.
79
CONTENTS
IX
4
DIAGNOSTICS
OF
MODEL
MISSPECIFICATION
89
4.1
PROBLEM
FORMULATION
.
89
4.2
DIAGNOSTICS
OF
MODEL
MISSPECIFICATIONS
WITH
GRAPHICS
.
90
4.2.1
PASTURE
REGROWTH
EXAMPLE:
ESTIMATION
USING
A
CONCAVE
SHAPED
CURVE
AND
PLOT
FOR
DIAGNOSTICS
.
91
4.2.2
ISOMERIZATION
EXAMPLE:
GRAPHICS
FOR
DIAGNOSTIC
.
92
4.2.3
PEPTIDES
EXAMPLE:
GRAPHICS
FOR
DIAGNOSTIC
.
94
4.2.4
CORTISOL
ASSAY
EXAMPLE:
HOW
TO
CHOOSE
THE
VARIANCE
FUNCTION
USING
REPLICATIONS
.
97
4.2.5
TRAJECTORY
OF
ROOTS
OF
MAIZE:
HOW
TO
DETECT
CORRELA
TIONS
IN
ERRORS
.
103
4.2.6
WHAT
CAN
WE
SAY
ABOUT
THE
EXPERIMENTAL
DESIGN?
.
.
104
4.3
DIAGNOSTICS
OF
MODEL
MISSPECIFICATIONS
WITH
TESTS
.
108
4.3.1
RIA
OF
CORTISOL:
COMPARISON
OF
NESTED
MODELS
.
108
4.3.2
TESTS
USING
REPLICATIONS
.
108
4.3.3
CORTISOL
ASSAY
EXAMPLE:
MISSPECIFICATION
TESTS
USING
REPLICATIONS
.
110
4.3.4
OVOCYTES
EXAMPLE:
GRAPHICS
OF
RESIDUALS
AND
MISSPEC
IFICATION
TESTS
USING
REPLICATIONS
.
110
4.4
NUMERICAL
TROUBLES
DURING
THE
ESTIMATION
PROCESS:
PEPTIDES
EXAMPLE
.
ILL
4.5
PEPTIDES
EXAMPLE:
CONCLUDED
.
115
4.6
USING
NLS2
.
117
5
CALIBRATION
AND
PREDICTION
131
5.1
EXAMPLES
.
131
5.2
PROBLEM
FORMULATION
.
133
5.3
CONFIDENCE
INTERVALS
.
133
5.3.1
PREDICTION
OF
A
RESPONSE
.
133
5.3.2
CALIBRATION
WITH
CONSTANT
VARIANCES
.
135
5.3.3
CALIBRATION
WITH
NONCONSTANT
VARIANCES
.
137
5.4
APPLICATIONS
.
138
5.4.1
PASTURE
REGROWTH
EXAMPLE:
PREDICTION
OF
THE
YIELD
AT
TIME
XQ
50
.
138
5.4.2
CORTISOL
ASSAY
EXAMPLE
.
139
5.4.3
NASTURTIUM
ASSAY
EXAMPLE
.
140
5.5
REFERENCES
.
141
5.6
USING
NLS2
.
141
REFERENCES
149
INDEX
152 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
building | Verbundindex |
bvnumber | BV023529260 |
callnumber-first | Q - Science |
callnumber-label | QA278 |
callnumber-raw | QA278.2.H84 2004 |
callnumber-search | QA278.2.H84 2004 |
callnumber-sort | QA 3278.2 H84 42004 |
callnumber-subject | QA - Mathematics |
classification_rvk | SK 840 |
ctrlnum | (OCoLC)890356525 (DE-599)BVBBV023529260 |
dewey-full | 519.5/3621 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5/36 21 |
dewey-search | 519.5/36 21 |
dewey-sort | 3519.5 236 221 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
discipline_str_mv | Mathematik |
edition | 2. ed. |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01997nam a2200541zc 4500</leader><controlfield tag="001">BV023529260</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20070511000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">030828s2003 xxud||| |||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">96,A43,0840</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">948566833</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0387400818</subfield><subfield code="c">Pp. : DM 65.00</subfield><subfield code="9">0-387-40081-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)890356525</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV023529260</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-521</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QA278.2.H84 2004</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5/36 21</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 840</subfield><subfield code="0">(DE-625)143261:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">27</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">32</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">30</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">39</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical tools for nonlinear regression</subfield><subfield code="b">a practical guide with S-PLUS and R examples</subfield><subfield code="c">Sylvie Huet ...</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2. ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York ; Berlin ; Heidelberg ; Barcelona ; Budapest ; Hong Kong ; London ; Milan ; Paris ; Santa Clara ; Singapore ; Tokyo</subfield><subfield code="b">Springer</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XIV, 232 S.</subfield><subfield code="b">graph. Darst.</subfield><subfield code="c">25 cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Springer series in statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Regression analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonlinear theories</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Parameter estimation</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">S-PLUS</subfield><subfield code="0">(DE-588)4321162-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Programm</subfield><subfield code="0">(DE-588)4047394-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Nichtlineare Regression</subfield><subfield code="0">(DE-588)4251077-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Nichtlineare Regression</subfield><subfield code="0">(DE-588)4251077-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">S-PLUS</subfield><subfield code="0">(DE-588)4321162-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Programm</subfield><subfield code="0">(DE-588)4047394-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Huet, Sylvie</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016849459&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-016849459</subfield></datafield></record></collection> |
id | DE-604.BV023529260 |
illustrated | Illustrated |
index_date | 2024-07-02T22:34:46Z |
indexdate | 2024-07-09T21:23:59Z |
institution | BVB |
isbn | 0387400818 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016849459 |
oclc_num | 890356525 |
open_access_boolean | |
owner | DE-521 |
owner_facet | DE-521 |
physical | XIV, 232 S. graph. Darst. 25 cm |
publishDate | 2003 |
publishDateSearch | 2003 |
publishDateSort | 2003 |
publisher | Springer |
record_format | marc |
series2 | Springer series in statistics |
spelling | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples Sylvie Huet ... 2. ed. New York ; Berlin ; Heidelberg ; Barcelona ; Budapest ; Hong Kong ; London ; Milan ; Paris ; Santa Clara ; Singapore ; Tokyo Springer 2003 XIV, 232 S. graph. Darst. 25 cm txt rdacontent n rdamedia nc rdacarrier Springer series in statistics Regression analysis Nonlinear theories Parameter estimation S-PLUS (DE-588)4321162-8 gnd rswk-swf Programm (DE-588)4047394-6 gnd rswk-swf Nichtlineare Regression (DE-588)4251077-6 gnd rswk-swf Nichtlineare Regression (DE-588)4251077-6 s S-PLUS (DE-588)4321162-8 s Programm (DE-588)4047394-6 s DE-604 Huet, Sylvie Sonstige oth DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016849459&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples Regression analysis Nonlinear theories Parameter estimation S-PLUS (DE-588)4321162-8 gnd Programm (DE-588)4047394-6 gnd Nichtlineare Regression (DE-588)4251077-6 gnd |
subject_GND | (DE-588)4321162-8 (DE-588)4047394-6 (DE-588)4251077-6 |
title | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples |
title_auth | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples |
title_exact_search | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples |
title_exact_search_txtP | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples |
title_full | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples Sylvie Huet ... |
title_fullStr | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples Sylvie Huet ... |
title_full_unstemmed | Statistical tools for nonlinear regression a practical guide with S-PLUS and R examples Sylvie Huet ... |
title_short | Statistical tools for nonlinear regression |
title_sort | statistical tools for nonlinear regression a practical guide with s plus and r examples |
title_sub | a practical guide with S-PLUS and R examples |
topic | Regression analysis Nonlinear theories Parameter estimation S-PLUS (DE-588)4321162-8 gnd Programm (DE-588)4047394-6 gnd Nichtlineare Regression (DE-588)4251077-6 gnd |
topic_facet | Regression analysis Nonlinear theories Parameter estimation S-PLUS Programm Nichtlineare Regression |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016849459&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT huetsylvie statisticaltoolsfornonlinearregressionapracticalguidewithsplusandrexamples |